Effective August 1, 2024, this database was discontinued. All content will remain searchable and be preserved online for historical purposes only until 2029.
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Qiwei Ge et al. Artif Intell Med 2024 153102887
The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.
Yuefei Li et al. BMC Infect Dis 2024 24(1) 474
The role of community engagement in promoting research participants' understanding of pharmacogenomic research results: Perspectives of stakeholders involved in HIV/AIDS research and treatment.
Sylvia Nabukenya et al. PLoS One 2024 19(4) e0299081
Concerted efforts toward genomic surveillance of viral pathogens in immunocompromised individuals.
Matheus Filgueira Bezerra et al. Lancet Microbe 2024 4
Machine learning prediction of adolescent HIV testing services in Ethiopia.
Melsew Setegn Alie et al. Front Public Health 2024 121341279
A Machine Learning Approach to Predict HIV Viral Load Hotspots in Kenya Using Real-World Data.
Nancy Kagendi et al. Health Data Sci 2024 30019
Development of a Machine Learning Modelling Tool for Predicting HIV Incidence Using Public Health Data from a County in the Southern United States.
Carlos S Saldana et al. Clin Infect Dis 2024
A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV.
Wei Jin et al. Biostatistics 2024
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study.
Jialu Li et al. Front Public Health 2024 111282324
Use of a machine learning model to predict retention in care in an urban HIV clinic.
Sarah A Schmalzle et al. AIDS 2023 38(1) 125-127
Patient-Level Exposure to Actionable Pharmacogenomic Medications in a Nationally Representative Insurance Claims Database.
Monica L Bianchini et al. J Pers Med 2023 13(11)
A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV.
Federico Motta et al. J Acquir Immune Defic Syndr 2023 94(5) 474-481
Comparison of logistic regression with regularized machine learning methods for the prediction of tuberculosis disease in people living with HIV: cross-sectional hospital- based study in Kisumu County, Kenya.
James Orwa et al. Res Sq 2023
Deep Learning Classification of Tuberculosis Chest X-rays.
Kartik K Goswami et al. Cureus 2023 15(7) e41583
Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.
Liming Hu et al. medRxiv 2023
Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model.
Rachel T Esra et al. PLOS Glob Public Health 2023 3(7) e0002105
Suddenly, It Looks Like We’re in a Golden Age for Medicine We may be on the cusp of an era of astonishing innovation — the limits of which aren’t even clear yet.
DW Wells, New York Times. June 23, 2023
WHO Introduces Worldwide Pathogen Surveillance Network
E Harris, JAMA, June 20, 2023
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022.
Daniel Niguse Mamo et al. BMC Med Inform Decis Mak 23(1) 75
Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms.
Alejandro Aybar-Flores et al. Int J Environ Res Public Health 2023 20(7)
Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania.
Carolyn A Fahey et al. PLOS global public health 2023 2(9) e0000720
Assessment of the implementation context in preparation for a clinical study of machine-learning algorithms to automate the classification of digital cervical images for cervical cancer screening in resource-constrained settings.
Delivette Castor et al. Frontiers in health services 2023 21000150
Machine learning approaches in diagnosing tuberculosis through biomarkers - A systematic review.
Vimala Balakrishnan et al. Progress in biophysics and molecular biology 2023 17916-25
An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis.
Grace Lui et al. PloS one 2023 18(2) e0281701
Artificial Intelligence and Machine Learning Based Prediction of Viral Load and CD4 Status of People Living with HIV (PLWH) on Anti-Retroviral Treatment in Gedeo Zone Public Hospitals.
Binyam Tariku Seboka et al. International journal of general medicine 2023 16435-451
Direct-to-consumer testing - benefits for consumers, people with disease and public health.
Rolf Hinzmann et al. Clinical chemistry and laboratory medicine 2023
Association of apolipoprotein E epsilon 4 and cognitive impairment in adults living with human immunodeficiency virus: a meta-analysis.
Tingting Mu et al. Chinese medical journal 2023 135(22) 2677-2686
Determinants and prediction of Chlamydia trachomatis re-testing and re-infection within 1 year among heterosexuals with chlamydia attending a sexual health clinic.
Xianglong Xu et al. Frontiers in public health 2023 101031372
The role of machine learning in HIV risk prediction.
Fieggen Joshua et al. Frontiers in reproductive health 2023 41062387
Harnessing Big Data to end HIV.
Li Xiaoming et al. AIDS care 2022 1-2
Pharmacogenetics of CYP2A6, CYP2B6, and UGT2B7 in the Context of HIV Treatments in African Populations.
Ford Graeme R et al. Journal of personalized medicine 2022 12(12)
Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data.
Jennings Mariela V et al. Complex psychiatry 2022 8(1-2) 47-55
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care.
Kidwai-Khan Farah et al. Frontiers in big data 2022 51059088
Use of mobile phone data in HIV epidemic control.
Valdano Eugenio et al. The lancet. HIV 2022 12 (12) e820-e821
A deliberative public engagement study on heritable human genome editing among South Africans: Study results.
Thaldar Donrich et al. PloS one 2022 17(11) e0275372
Antibody response durability following three-dose COVID-19 vaccination in people with HIV receiving suppressive ART
HR LaPointe et al, MEDRXIV, November 7, 2022
Identifying Predictors of Anal HPV Status in HPV-Vaccinated MSM: A Machine Learning Approach.
Ocagli Honoria et al. Journal of homosexuality 2022 1-17
Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.
Haas Oliver et al. Frontiers in reproductive health 2022 3756405
Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning.
Wang Bo et al. AIDS and behavior 2022
HIV Prevention: Digital Health Interventions to Improve Adherence to HIV Pre-Exposure Prophylaxis
The Community Guide, October 2022
Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study.
Peng Mary L et al. JMIR formative research 2022 6(10) e42055
Pharmacogenetics of HIV therapy: State of the art in Latin American countries.
Velozo Camila de Almeida et al. Genetics and molecular biology 2022 45(3 Suppl 1) e20220120
Baseline host determinants of robust human HIV-1 vaccine-induced immune responses: A meta-analysis of 26 vaccine regimens.
Huang Yunda et al. EBioMedicine 2022 84104271
Clinical characteristics and comparison of longitudinal qPCR results from different specimen types in a cohort of ambulatory and hospitalized patients infected with monkeypox virus.
Nörz Dominik et al. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 2022 9 105254
Predicting HIV Status among Men Who Have Sex with Men in Bulawayo & Harare, Zimbabwe Using Bio-Behavioural Data, Recurrent Neural Networks, and Machine Learning Techniques.
Chingombe Innocent et al. Tropical medicine and infectious disease 2022 7(9)
Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.
He Jiajin et al. Frontiers in public health 2022 10967681
Predictive Risk Model for Serious Falls Among Older Persons Living With HIV.
Womack Julie A et al. Journal of acquired immune deficiency syndromes (1999) 2022 91(2) 168-174
Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study.
Xu Xianglong et al. Journal of medical Internet research 2022 24(8) e37850
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review
W Wallace et al, NPJ Digital Medicine, August 18, 2022
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis.
Skeen Simone J et al. JMIR human factors 2022 9(3) e37350
Economic Evaluation of Multiple-Pharmacogenes Testing for the Prevention of Adverse Drug Reactions in People Living with HIV.
Turongkaravee Saowalak et al. ClinicoEconomics and outcomes research : CEOR 2022 14447-463
Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages.
Xu Xianglong et al. Scientific reports 2022 12(1) 8757
Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi Minjuan et al. PLoS neglected tropical diseases 2022 16(5) e0010388
The clinical progress of mRNA vaccines and immunotherapies
AJ Barbier et al, Nature Biotechnology, May 9, 2022
Cytomegalovirus Retinitis Screening Using Machine Learning Technology.
Srisuriyajan Pitchapa et al. Retina (Philadelphia, Pa.) 2022
A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.
Xu Xianglong et al. Journal of clinical medicine 2022 11(7)
Machine learning-based predictive models for identifying high active compounds against HIV-1 integrase.
Parvez M K et al. SAR and QSAR in environmental research 2022 1-16
Predictive analytics using machine learning to identify ART clients at health system level at greatest risk of treatment interruption in Mozambique and Nigeria.
Stockman Jeni et al. Journal of acquired immune deficiency syndromes (1999) 2022
COVID-19 and resilience of healthcare systems in ten countries
C Arsenault et al, Nature Medicine, March 14, 2022
Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV.
Dickerman Barbra A et al. European journal of epidemiology 2022
HIV variant causes concern
K O'Leary, Nature Medicine, February 14, 2022
Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol.
Zhang Jiajia et al. BMC infectious diseases 2022 22(1) 122
Pharmacogenetics of HIV therapy: challenges for tailoring treatment in genetically complex populations.
de Almeida Velozo Camila et al. Pharmacogenomics 2022
SARS-CoV-2 prolonged infection during advanced HIV disease evolves extensive immune escape
S Cele et al, Cell, January 13, 2022
Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach.
Paul Robert H et al. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology 2022
CCR5 and Biological Complexity: The Need for Data Integration and Educational Materials to Address Genetic/Biological Reductionism at the Interface of Ethical, Legal, and Social Implications.
Bauss Jacob et al. Frontiers in immunology 2021 12790041
Association Between Immune Dysfunction and COVID-19 Breakthrough Infection After SARS-CoV-2 Vaccination in the US
J Sun et al, JAMA Internal Medicine, December 28, 2021
mRNA vaccines offer hope for HIV
L Morris, Nature Medicine, December 9, 2021
Utility of a Machine-Guided Tool for Assessing Risk Behavior Associated With Contracting HIV in Three Sites in South Africa: Protocol for an In-Field Evaluation.
Majam Mohammed et al. JMIR research protocols 2021 10(12) e30304
Vaccine development needs a boost
Nature Medicine editorial, December 2, 2021
Covid-19: Why Africa’s pandemic is different
M Sentilingham et al, BMJ, October 19, 2021
Derivation and external validation of a risk score for predicting HIV-associated tuberculosis to support case finding and preventive therapy scale-up: A cohort study
AF Aud et al, PLOS Medicine, September 7, 2021
Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019.
Liang Chen et al. International journal of medical informatics 2021 154104558
Predictors of COVID-19 epidemics in countries of the World Health Organization African Region
F Zhang et al, NPJ Digital Medicine, September 3, 2021
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection.
Martinez-Banfi Martha et al. Brain sciences 2021 11(8)
Recommendation for an Additional Dose of an mRNA COVID-19 Vaccine in Moderately to Severely Immunocompromised People
CDC media statement, August 13, 2021
Prospective Newborn Screening for Sickle Cell Disease and Other Inherited Blood Disorders in Central Malawi.
Tegha Gerald et al. International journal of public health 2021 66629338
Diverse experts' perspectives on ethical issues of using machine learning to predict HIV/AIDS risk in sub-Saharan Africa: a modified Delphi study.
Nichol Ariadne A et al. BMJ open 2021 11(7) e052287
Chest X-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: an individual patient data meta-analysis of diagnostic accuracy.
Tavaziva Gamuchirai et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2021
Utilizing Big Data analytics and electronic health record data in HIV prevention, treatment, and care research: a literature review.
Qiao Shan et al. AIDS care 2021 1-21
Community based screening for sickle haemoglobin among pregnant women in Benue State, Nigeria: I-Care-to-Know, a Healthy Beginning Initiative.
Ezenwosu Osita U et al. BMC pregnancy and childbirth 2021 21(1) 498
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
Fehr Jana et al. NPJ digital medicine 2021 4(1) 106
HIV-1 and human genetic variation
PJ McLaren et al, Nat Rev Genetics, June 2021
Association of medically assisted reproduction with offspring cord blood DNA methylation across cohorts.
Caramaschi Doretta et al. Human reproduction (Oxford, England) 2021
Deep learning of HIV field-based rapid tests
V Turbe et al, Nature Medicine, June 18, 2021
Pharmacogenetic Associations Between Atazanavir/UGT1A1*28 and Efavirenz/rs3745274 (CYP2B6) Account for Specific Adverse Reactions in Chilean Patients Undergoing Antiretroviral Therapy.
Poblete Daniela et al. Frontiers in pharmacology 2021 12660965
How to Identify Potential Candidates for HIV Pre-Exposure Prophylaxis: An AI Algorithm Reusing Real-World Hospital Data.
Duthe Jean-Charles et al. Studies in health technology and informatics 2021 281714-718
Predictive variables for peripheral neuropathy in treated HIV-1 infection revealed by machine learning.
Tu Wei et al. AIDS (London, England) 2021
A comparison of covariate selection techniques applied to pre-exposure prophylaxis (PrEP) drug concentration data in men and transgender women at risk for HIV.
Peterson Skyler et al. Journal of pharmacokinetics and pharmacodynamics 2021
Efficacy of the ChAdOx1 nCoV-19 Covid-19 Vaccine against the B.1.351 Variant.
Madhi Shabir A et al. The New England journal of medicine 2021 384(20) 1885-1898
Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.
Comulada W Scott et al. Prevention science : the official journal of the Society for Prevention Research 2021
Efficacy of NVX-CoV2373 Covid-19 Vaccine against the B.1.351 Variant.
Shinde Vivek et al. The New England journal of medicine 2021
Genomic landscape of primary and recurrent anal squamous cell carcinomas in relation to HPV integration, copy number variation, and DNA damage response genes.
Aldersley Jordan et al. Molecular cancer research : MCR 2021
2021: the beginning of a new era of immunizations?
The Lancet editorial, April 24, 2021
Adolescent HIV-related behavioural prediction using machine learning: a foundation for precision HIV prevention.
Wang Bo et al. AIDS (London, England) 2021 35(Suppl 1) S75-S84
Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina.
Olatosi Bankole et al. AIDS (London, England) 2021 35(Suppl 1) S19-S28
Applying a machine learning modelling framework to predict delayed linkage to care in patients newly diagnosed with HIV in Mecklenburg County, North Carolina, USA.
Chen Shi et al. AIDS (London, England) 2021 35(Suppl 1) S29-S38
Building a social media-based HIV risk behavior index to inform the prediction of HIV new diagnosis: a feasibility study.
Li Zhenlong et al. AIDS (London, England) 2021 35(Suppl 1) S91-S99
Power of Big Data in ending HIV.
Olatosi Bankole et al. AIDS (London, England) 2021 35(Suppl 1) S1-S5
Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach.
Yang Xueying et al. AIDS (London, England) 2021 35(Suppl 1) S39-S51
A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China.
Yin Yi et al. BioMed research international 2021 20216696041
Health information technology interventions and engagement in HIV care and achievement of viral suppression in publicly funded settings in the US: A cost-effectiveness analysis.
Shade Starley B et al. PLoS medicine 2021 18(4) e1003389
Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.
Garett Renee et al. AIDS and behavior 2021
Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting.
Holmström Oscar et al. JAMA network open 2021 4(3) e211740
Precision Public Health in the Pandemic- Using MicrobeTrace to Track COVID-19
CDC May 26 webinar
Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes.
Ridgway Jessica P et al. Current HIV/AIDS reports 2021
Machine learning prediction of neurocognitive impairment among people with HIV using clinical and multimodal magnetic resonance imaging data.
Xu Yunan et al. Journal of neurovirology 2021 Jan
PharmVar GeneFocus: CYP2B6.
Desta Zeruesenay et al. Clinical pharmacology and therapeutics 2021 Jan
How COVID unlocked the power of RNA vaccines The technology could revolutionize efforts to immunize against HIV, malaria, influenza and more.
E Dolgin, Nature News, January 12, 2021
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.
Khan Faiz Ahmad et al. The Lancet. Digital health 2020 Nov 2(11) e573-e581
Surveillance for sickle cell disease, United Republic of Tanzania.
Ambrose Emmanuela E et al. Bulletin of the World Health Organization 2020 Dec 98(12) 859-868
Predicting the diagnosis of HIV and sexually transmitted infections among men who have sex with men using machine learning approaches.
Bao Yining et al. The Journal of infection 2020 Nov
Do solidarity and reciprocity obligations compel African researchers to feedback individual genetic results in genomics research?
Ralefala Dimpho et al. BMC medical ethics 2020 Nov 21(1) 112
Trends in Sickle Cell Trait and Disease Screening in the Republic of Uganda, 2014-2019.
Hernandez Arielle G et al. Tropical medicine & international health : TM & IH 2020 Nov
High circulating SDF-1and MCP-1 levels and genetic variations in CXCL12, CCL2 and CCR5: Prognostic signature of immune recovery status in treated HIV-positive patients
E Yeregui et al, EBiomedicine, November 2020
Host Genomics of the HIV-1 Reservoir Size and Its Decay Rate During Suppressive Antiretroviral Treatment.
Thorball Christian W et al. Journal of acquired immune deficiency syndromes (1999) 2020 Dec 85(4) 517-524
Genetic-molecular characterization in the diagnosis of primary immunodeficiencies.
Segundo Gesmar Rodrigues Silva et al. Jornal de pediatria 2020 Oct
DOT Diary: Developing a Novel Mobile App Using Artificial Intelligence and an Electronic Sexual Diary to Measure and Support PrEP Adherence Among Young Men Who Have Sex with Men.
Liu Albert Y et al. AIDS and behavior 2020 Oct
Use of social media big data as a novel HIV surveillance tool in South Africa.
van Heerden Alastair et al. PloS one 2020 15(10) e0239304
Evaluation of CDC's Hemophilia Surveillance Program - Universal Data Collection (1998-2011) and Community Counts (2011-2019), United States.
Schieve Laura A et al. Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) 2020 Sep 69(5) 1-18
Ethical challenges in pathogen sequencing: a systematic scoping review.
Johnson Stephanie et al. Wellcome open research 2020 5119
The prevalence and factors associated with alcohol use disorder among people living with HIV/AIDS in Africa: a systematic review and meta-analysis.
Necho Mogesie et al. Substance abuse treatment, prevention, and policy 2020 Aug 15(1) 63
Smart diagnostics devices through artificial intelligence and mechanobiological approaches.
Yadav Dinesh et al. 3 Biotech 2020 Aug 10(8) 351
Comments on the CRISPR Gene-edited babies' case.
Cong Yali et al. Indian journal of medical ethics 4 (NS)(4) 297-300
Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review.
Bharucha Tehmina et al. The Journal of infection 2019 79(5) 407-418
Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare.
Gruber Susan et al. Statistics in medicine 2020 Jun
Incidence of SCID in Germany from 2014 to 2015 an ESPED* Survey on Behalf of the API*** Erhebungseinheit für Seltene Pädiatrische Erkrankungen in Deutschland (German Paediatric Surveillance Unit) ** Arbeitsgemeinschaft Pädiatrische Immunologie.
Shai Sonu et al. Journal of clinical immunology 2020 May
Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.
Steiner Margaret C et al. Viruses 2020 May 12(5)
Study Suggests a Second Patient Has Been Cured of HIV
B Kuehn, JAMA, May 20, 2020
Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse.
Cuomo Raphael E et al. Drug and alcohol review 2020 May
HIV-associated gut dysbiosis is independent of sexual practice and correlates with noncommunicable diseases
IV Cvijin et al, Nat Communications, May 15, 2020
Cohort-derived machine learning models for individual prediction of chronic kidney disease in people living with HIV: a prospective multicentre cohort study.
Roth Jan A et al. The Journal of infectious diseases 2020 May
Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.
Marcus Julia L et al. Current HIV/AIDS reports 2020 Apr
Comparing Methods for Record Linkage for Public Health Action: Matching Algorithm Validation Study.
Avoundjian Tigran et al. JMIR public health and surveillance 2020 Apr 6(2) e15917
Influence of CYP3A5 and SLCO1B1 polymorphisms on atazanavir/r concentrations in Thai HIV-infected patients.
Singkham Noppaket et al. Pharmacogenomics 2019 20(7) 517-527
Pharmacogenetic testing for the treatment of aspergillosis with voriconazole in two HIV-positive patients.
Fulco Patricia P et al. Pharmacogenetics and genomics 2019 29(6) 155-157
Acceptability of electronic healthcare predictive analytics for HIV prevention: a qualitative study with men who have sex with men in New York City.
Mootz Jennifer J et al. mHealth 2020 611
Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence.
Kamal Susan et al. AIDS care 2020 Apr 1-7
Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda.
Benitez Alejandra E et al. Journal of the International AIDS Society 2020 Mar 23(3) e25467
A cure for HIV: how would we know?
JM Zerbato et al, LAncet HIV, March 2020
The Ethics of Gene Editing from an Islamic Perspective: A Focus on the Recent Gene Editing of the Chinese Twins.
Al-Balas Qosay A E et al. Science and engineering ethics 2020 Mar
Pharmacogenetic Markers: A Path toward Individualized HIV Therapy.
García-Blanco Danays et al. MEDICC review 21(2-3) 59-68
Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State.
Erly Steven J et al. Viruses 2020 Jan 12(2)
Crowdsourcing in health and medical research: a systematic review.
Wang Cheng et al. Infectious diseases of poverty 2020 Jan 9(1) 8
Personalized public health: An implementation research agenda for the HIV response and beyond.
Geng Elvin H et al. PLoS medicine 2019 Dec 16(12) e1003020
Invasive Nontypeable Haemophilus influenzae Infection Among Adults With HIV in Metropolitan Atlanta, Georgia, 2008-2018.
Collins Lauren F et al. JAMA 2019 Dec 322(24) 2399-2410
Test for HIV Drug–Resistance Mutations
F Sancar, JAMA, December 17, 2019
Algorithmic prediction of HIV status using nation-wide electronic registry data
MG Ahlstrom et al, Lancet Digital Medicine, November 2019
Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda.
Balzer Laura B et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2019 Nov
NIH Director Backs Moratorium for Heritable Genome Editing
Gen News, November 8, 2019
High-resolution mapping of tuberculosis transmission: Whole genome sequencing and phylogenetic modelling of a cohort from Valencia Region, Spain.
Xu Yuanwei et al. PLoS medicine 2019 Oct 16(10) e1002961
FDA authorizes marketing of first next-generation sequencing test for detecting HIV-1 drug resistance mutations
FDA News, November 5, 2019
Gene-Editing Advance Puts More Gene-Based Cures Within Reach
F Collins, NIH Director Blog, November 5, 2019
Vision of the Future of Medical Science
Francis Collins, Time, October 25, 2019
Association of Lipidomic Profiles With Progression of Carotid Artery Atherosclerosis in HIV Infection.
Chai Jin Choul et al. JAMA cardiology 2019 Oct
Gene-Based Cures for SCD and HIV
NIH, October 23, 2019
Understanding Precision Medicine And AI Within The Life Cycle Of Technology Revolutions
D Shaywitz, Forbes, October 16, 2019
'Six million lives could be saved by 2030' through data science,
by Gilbert Nakweya, Sci Dev Net, October 10, 2019
Illuminating HIV outbreaks with AMD
CDC, October 2019
People at High Risk For Flu Complications
CDC, 2019
Precision public health and HIV in Africa.
Blower Sally et al. The Lancet. Infectious diseases 2019 Oct 19(10) 1050-1052
Deadly condition more common than once thought-Familial hypercholesterolemia raises risk of heart disease, death
K Corso, ABC News, September 30, 2019
A fairer way forward for AI in health care
L Nordling, Nature Outlook, September 25, 2019
Detection of hypermethylated genes as markers for cervical screening in women living with HIV.
Kremer Wieke W et al. Journal of the International AIDS Society 2018 21(8) e25165
Could editing the DNA of embryos with CRISPR help save people who are already alive?
A Joseph, StatNews, September 16, 2019
Good News, Bad News for CRISPR Gene Editing for HIV Cure- "Bigger story for the gene-editing field than the HIV field"
M Walker, Medpage today, September 11, 2019
Scientists use gene-edited stem cells to treat HIV - with mixed success
J Lambert, Nature, September 12, 2019
CRISPR-Edited Stem Cells in a Patient with HIV and Acute Lymphocytic Leukemia.
Xu Lei et al. The New England journal of medicine 2019 Sep
Personal Genetic Information about HIV: Research Participants' Views of Ethical, Social, and Behavioral Implications.
Boyce Angie et al. Public health genomics 2019 Aug 1-10
A Tissue Sample From 1966 Held Traces of Early HIV- To understand the virus?s history, a team worked to reconstruct its genome from a time before anyone knew the virus existed.
E Yong, the Atlantic, August 2019
Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic.
Strathdee Steffanie A et al. Current opinion in HIV and AIDS 2019 Aug
Pharmacy Data as an Alternative Data Source for Implementation of a Data to Care Strategy.
Byrd Kathy K et al. Journal of acquired immune deficiency syndromes (1999) 2019 Sep 82 Suppl 1S53-S56
Designer babies are on the way. We're not ready
R Klitzman, CNN, August 16,2019
How Big Data Science Can Improve Linkage and Retention in Care.
Rana Aadia I et al. Infectious disease clinics of North America 2019 Sep 33(3) 807-815
Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults: 2018 Recommendations of the International Antiviral Society-USA Panel.
Saag Michael S et al. JAMA 2018 320(4) 379-396
Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.
Wei Yu et al. International journal of molecular sciences 2019 Jul 20(14)
Genetic testing for prevention of severe drug-induced skin rash.
Alfirevic Ana et al. The Cochrane database of systematic reviews 2019 Jul 7CD010891
A Hepatitis C outbreak preceded the HIV outbreak among persons who inject drugs in Athens, Greece. Insights from a mathematical modeling study.
Gountas Ilias et al. Journal of viral hepatitis 2019 Jul
Using big data analytics to improve HIV medical care utilisation in South Carolina: A study protocol.
Olatosi Bankole et al. BMJ open 2019 Jul 9(7) e027688
Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study.
Krakower Douglas S et al. The lancet. HIV 2019 Jul
HIV's genetic code, extracted from a nub of tissue, adds to evidence of virus' emergence in humans a century ago
H Branswell, Stat News, July 16, 2019
Use of big data to identify risk of adverse HIV outcomes.
Vermund Sten H et al. The lancet. HIV 2019 Jul
Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study.
Marcus Julia L et al. The lancet. HIV 2019 Jul
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.
Xiang Yang et al. Journal of the American Medical Informatics Association : JAMIA 2019 Jun
AFM's Terrifying Randomness May Not Be So Random - Why does a virus leave one child paralyzed and others unscathed
C Arnold, Johns Hopkins School of Public Health, June 2019
National HIV Testing Day-Doing It My Way, Testing for HIV
June 27, 2019
Bridging the digital health divide: toward equitable global access to mobile health interventions for people living with HIV.
Campbell Breanna R et al. Expert review of anti-infective therapy 2019 17(3) 141-144
Cascade Monitoring in Multidisciplinary Adolescent HIV Care Settings: Protocol for Utilizing Electronic Health Records.
Pennar Amy L et al. JMIR research protocols 2019 May 8(5) e11185
Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review.
Tang Weiming et al. Current HIV/AIDS reports 2019 Jun
The hidden cost of genetic resistance to HIV-1.
Luban Jeremy, et al. Nature medicine 2019 0 0. (6) 878-879
A Smartphone Game to Prevent HIV Among Young Africans (Tumaini): Assessing Intervention and Study Acceptability Among Adolescents and Their Parents in a Randomized Controlled Trial.
Sabben Gaëlle et al. JMIR mHealth and uHealth 2019 May 7(5) e13049
Are privacy-enhancing technologies for genomic data ready for the clinic? A survey of medical experts of the Swiss HIV Cohort Study.
Raisaro Jean-Louis et al. Journal of biomedical informatics 2018 791-6
Sickle cell screening in Uganda: High burden, human immunodeficiency virus comorbidity, and genetic modifiers.
Kiyaga Charles et al. Pediatric blood & cancer 2019 May e27807
Development and Implementation of a Mobile Phone-Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique.
Kawakyu Nami et al. JMIR mHealth and uHealth 2019 May 7(5) e13963
Interactive Narrative in a Mobile Health Behavioral Intervention (Tumaini): Theoretical Grounding and Structure of a Smartphone Game to Prevent HIV Among Young Africans.
Winskell Kate et al. JMIR serious games 2019 May 7(2) e13037
Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.
Wray Tyler B et al. Prevention science : the official journal of the Society for Prevention Research 2019 May
Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2B6 and Efavirenz-containing Antiretroviral Therapy.
Desta Zeruesenay et al. Clinical pharmacology and therapeutics 2019 Apr
A smart nanosensor for the detection of human immunodeficiency virus and associated cardiovascular and arthritis diseases using functionalized graphene-based transistors.
Islam Saurav et al. Biosensors & bioelectronics 2019 Feb 126792-799
Evaluation of the performance of three biomarker assays for recent HIV infection using a well-characterized HIV-1 subtype C incidence cohort.
Gonese Elizabeth et al. AIDS research and human retroviruses 2019 Apr
Comparative analysis of HIV sequences in real time for public health.
Wertheim Joel O et al. Current opinion in HIV and AIDS 2019 Mar
Ending the HIV Epidemic- HIV Treatment Is Prevention
CDC Vital Signs, March 2019
Battling HIV and STDs
CDC Advanced Molecular Detection Information
National Women and Girls HIV/AIDS Awareness Day
CDC, March 10, 2019
Has a second person with HIV been cured?
Cohen Jon, et al. Science (New York, N.Y.) 2019 0 0. (6431) 1021
HIV-1 remission following CCR5Δ32/Δ32 haematopoietic stem-cell transplantation.
Gupta Ravindra K et al. Nature 2019 Mar
Premarital Screening and Genetic Counseling Program: Studies from an Endogamous Population.
Bener Abdulbari et al. International journal of applied & basic medical research 9(1) 20-26
H.I.V. Is Reported Cured in a Second Patient, a Milestone in the Global AIDS Epidemic
A Mandavilli, New York Times, March 4, 2019
Second patient free of HIV after stem-cell therapy- The breakthrough suggests first case was not a one-off and could pave way for future treatments.
M Warren, Nature News, March 5, 2019
Cost for sickle cell disease screening using isoelectric focusing with dried blood spot samples and estimation of price thresholds for a point-of-care test in Uganda.
Mvundura Mercy et al. Journal of blood medicine 2019 1059-67
Predicting opioid dependence from electronic health records with machine learning.
Ellis Randall J et al. BioData mining 2019 123
Advances in the molecular diagnosis of tuberculosis: From probes to genomes.
Machado Diana et al. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2018 Nov
Ending the HIV Epidemic: A Plan for America
HHS, February 5, 2019
Experiments that led to the first gene-edited babies: the ethical failings and the urgent need for better governance.
Li Jing-Ru et al. Journal of Zhejiang University. Science. B 20(1) 32-38
First evaluation of the Next-Generation Sequencing platform for the detection of HIV-1 drug resistance mutations in Belgium.
Dessilly Géraldine et al. PloS one 2018 13(12) e0209561
Pharmacogenomics research and clinical implementation in Brazil.
Rodrigues-Soares Fernanda et al. Basic & clinical pharmacology & toxicology 2018 Dec
South African dyslipidaemia guideline consensus statement: 2018 update A joint statement from the South African Heart Association (SA Heart) and the Lipid and Atherosclerosis Society of Southern Africa (LASSA).
Klug E et al. South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde 2018 Oct 108(11b) 973-1000
Anti-Racism Methods for Big Data Research: Lessons Learned from the HIV Testing, Linkage, & Retention in Care (HIV TLR) Study.
Ford Chandra L et al. Ethnicity & disease 2018 28(Suppl 1) 261-266
The First Genome Surgeons- Scientists have built tools that can cheaply and easily edit DNA. Now they are preparing to bring them into the clinic to cure disease.
A Bleicher, the Medium, October 23, 2018
Perspectives from a state genetics coordinator: Public healths role in addressing familial hypercholesterolemia (FH) in the United States
Deb Lochner Doyle, Blog Post, October 17, 2018
Unraveling the Mystery of What Gives Exceptional Responders Their Superpower
J Cavallo, ASCO Post, August 2018
All About Your A1C
CDC, August 2018
Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China.
Wang G et al. Epidemiology and infection 2019 Jan 147e194
They Thought Hemophilia Was a Lifelong Thing. They May Be Wrong. Experimental gene therapies have yielded promising results in early trials. But the drugs have left some patients wary, worried that success will not last.
G Kolata, New York Times, August 13, 2018
She had a lot of rashes, but dont all kids?
SG Boodman, Washington Post, July 2018
Using an Innovative Telehealth Model to Support Community Providers Who Deliver Perinatal HIV Care.
Ness Tara E et al. AIDS education and prevention : official publication of the International Society for AIDS Education 2017 29(6) 516-526
Did CRISPR help - or harm - the first-ever gene-edited babies?
J Cohen, Science, August 1, 2019
Local Coverage Determination (LCD): Foodborne Gastrointestinal Panels Identified by Multiplex Nucleic Acid Amplification (NAATs) (L37709)
The U.S. Centers for Medicare & Medicaid Services
Local Coverage Determination (LCD): Flow Cytometry (L33661)
The U.S. Centers for Medicare & Medicaid Services
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality.
Zhang Xinyu et al. Clinical epigenetics 2018 10(1) 155
CLINGEN Actionability Report for Gaucher Disease - GBA
ClinGen Actionability Working Group
CLINGEN Actionability Report for von Willebrand Disease - VWF
ClinGen Actionability Working Group
Cancer Scientists Have Ignored African DNA in the Search for Cures
J Wapner, Newsweek, July 2018
Swift Gene-Editing Method May Revolutionize Treatments for Cancer and Infectious Diseases
G Kolata, NY Times, July 11, 2018
Gene edited monkeys offer hope for heart disease patients
J Kaiser, Science, July 9, 2018
An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years.
Chan Man-Pui Sally et al. AIDS and behavior 2018 Jul 22(7) 2322-2333
Cancer and Men
Challenges and solutions implementing an SMS text message-based survey CASI and adherence reminders in an international biomedical HIV PrEP study (MTN 017).
Brown William et al. Journal of biomedical informatics 2018 8078-86
Pharmacogenetic associations with cytochrome P450 in antiretroviral therapy: what does the future hold?
Stillemans Gabriel et al. Expert opinion on drug metabolism & toxicology 2018 May
Pharmacogenomics in Papua New Guineans: unique profiles and implications for enhancing drug efficacy while improving drug safety.
Tucci Joseph D et al. Pharmacogenetics and genomics 2018 Jun 28(6) 153-164
As D.I.Y. Gene Editing Gains Popularity, 'Someone Is Going to Get Hurt'
E Baumgaertner, NY Times, May 14, 2018
Cryo-EM Images Capture Key Enzyme Tied to Cancer, Aging
NIH Director Blog, May 1, 2018
Gene therapy helps patients avoid blood transfusion, study says
CNN, Apr 19, 2018
Genome Editing- Altering a genome with unparalleled efficiency and precision.
NHGRI, Apr 24, 2018
Confronting the Opioid Epidemic
Gene Editing for Good: How CRISPR Could Transform Global Development
B Gates, Foreign Affairs, Apr 10, 2018
Pharmacogenomics of Rosuvastatin: A Glocal (Global+Local) African Perspective and Expert Review on a Statin Drug.
Soko Nyarai D et al. Omics : a journal of integrative biology 2016 Sep 20(9) 498-509
Will Personalized Medicine Mean Higher Costs for Consumers?
M Geruso et al, Harvard Business Review, Mar 1, 2018
Genetic risk of APOL1 and kidney disease in children and young adults of African ancestry.
Reidy Kimberly J et al. Current opinion in pediatrics 2018 Feb
Reasons for being in favour of or against genome modification: a survey of the Dutch general public.
Hendriks S et al. Human reproduction open 2018 2018(3) hoy008
Pharmacogenetic considerations for HIV treatment in different ethnicities: an update.
Neary M et al. Expert opinion on drug metabolism & toxicology 2017 Nov 13(11) 1169-1181
Pharmacogenetics-based population pharmacokinetic analysis of tenofovir in Thai HIV-infected patients.
Rungtivasuwan Kanokrat et al. Pharmacogenomics 2017 Oct
Population Pharmacokinetics and Pharmacogenetics Analysis of Rilpivirine in HIV-1-Infected Individuals.
Aouri Manel et al. Antimicrobial agents and chemotherapy 2017 Jan 61(1)
Application of pharmacogenomics to investigate adverse drug reactions to the disease-modifying treatments for multiple sclerosis: a case-control study protocol for dimethyl fumarate-induced lymphopenia.
Kowalec Kaarina et al. BMJ open 2017 Jun 7(5) e016276
The evolving science of apolipoprotein-L1 and kidney disease.
Chen Teresa K et al. Current opinion in nephrology and hypertension 2016 May 25(3) 217-25
CRISPR Identifies Potential Gene Targets to Hobble HIV Infection
S Begley, Scientific American, October 26, 2016
Genomics of HIV/AIDS Drug Response and Co-Morbidities (R01)
Prevalence of Sickle Cell Trait and Reliability of Self-Reported Status among Expectant Parents in Nigeria: Implications for Targeted Newborn Screening.
Burnham-Marusich Amanda R et al. Public health genomics 2016 Sep 19(5)
Frequency of the CCR5-delta32 allele in Brazilian populations: A systematic literature review and meta-analysis.
Silva-Carvalho Wlisses Henrique Veloso et al. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2016 Sep 43101-7
Contribution of Genetic Background and Clinical Risk Factors to Low-Trauma Fractures in Human Immunodeficiency Virus (HIV)-Positive Persons: The Swiss HIV Cohort Study.
Junier Thomas et al. Open forum infectious diseases 2016 Apr 3(2) ofw101
Privacy-preserving genomic testing in the clinic: a model using HIV treatment.
McLaren Paul J et al. Genetics in medicine : official journal of the American College of Medical Genetics 2016 Jan
5 terrible illnesses that genetic engineering could eliminate forever,
by Lauren F Friedman, Tech Insider, December 24, 2015
Cost-effectiveness of CYP2B6 genotyping to optimize efavirenz dosing in HIV clinical practice.
Schackman Bruce R et al. Pharmacogenomics 2015 Nov
Database resources of the National Center for Biotechnology Information.
et al. Nucleic acids research 2015 Nov
The use of pharmacogenetics in clinical practice for the treatment of individuals with HIV infection in Thailand.
Bushyakanist Asalaysa et al. Pharmacogenomics and personalized medicine 8163-170
A Global Health Diagnostic for Personalized Medicine in Resource-Constrained World Settings: A Simple PCR-RFLP Method for Genotyping CYP2B6 g.15582C>T and Science and Policy Relevance for Optimal Use of Antiretroviral Drug Efavirenz.
Evans Jonathan et al. Omics : a journal of integrative biology 2015 Jun 19(6) 332-338
Genomics of HIV infection.
Telenti Amalio et al. Curr Opin HIV AIDS 2015 Mar (2) 77-8
Genetic services and testing in South Africa.
GuavaH: a compendium of host genomic data in HIV biology and disease.
Perceptions of genetic testing and genomic medicine among drug users.
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.