[PDF][PDF] Application of a genotypic driven rule-based expert artificial intelligence computer system in treatment experienced HIV-infected patients. Immunologic and …

P Cimoch, D See, M Pazzani, W Reiter… - Proc. of the 12th World …, 1998 - ics.uci.edu
Background: A rule-based expert computer program,“Customized Treatment Strategies for
HIV”(CTSHIV) has been developed connecting the literature describing specific HIV drug …

[PDF][PDF] Artificial intelligence's impact on drug discovery and development from bench to bedside

KS Vidhya, A Sultana, N Kumar, H Rangareddy… - Cureus, 2023 - cureus.com
Artificial intelligence (AI) techniques have the potential to revolutionize drug release
modeling, optimize therapy for personalized medicine, and minimize side effects. By …

[PDF][PDF] Fit For Purpose: Antiretroviral Treatment Optimization

P Clayden - 2015 PIPELINE REPORT, 2015 - issuelab.org
Fit For Purpose: Antiretroviral Treatment Optimization Page 49 43 Antiretroviral Treatment
Optimization Fit for Purpose: Antiretroviral Treatment Optimization By Polly Clayden …

Clinically relevant adaptive modeling for personalized drug dosing

A Affan, T Inanc - 2021 IEEE/ACM Conference on Connected …, 2021 - ieeexplore.ieee.org
Drug delivery for warfarin and anemia management is a difficult task due to narrow
therapeutic range and change in patient's Pharmacokinetic (PK) and Pharmacodynamic …

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

M Rosen-Zvi, A Altmann, M Prosperi, E Aharoni… - …, 2008 - academic.oup.com
Motivation: Optimizing HIV therapies is crucial since the virus rapidly develops mutations to
evade drug pressure. Recent studies have shown that genotypic information might not be …

Developing predictive models for HIV Drug resistance: A genomic and AI approach

CC Ebulue, OV Ekkeh, OR Ebulue… - … Science Research Journal, 2024 - fepbl.com
This paper proposes a novel approach to combating HIV drug resistance through the
development of predictive models leveraging genomic data and artificial intelligence (AI) …

[PDF][PDF] Targets Identification Using Machine Learning: Accelerating The Hunt For Potential Drug Targets

MTJ Patvegar, A Patil, R Jarag, P Sathe… - International …, 2024 - researchgate.net
Artificial intelligence (AI) is driving personalized medicine, which is changing the face of
pharmaceutical research and patient treatment. AI algorithms sift through mountains of …

Predicting response to antiretroviral treatment by machine learning: the EuResist project

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - Intervirology, 2012 - karger.com
For a long time, the clinical management of antiretroviral drug resistance was based on
sequence analysis of the HIV genome followed by estimating drug susceptibility from the …

[PDF][PDF] Targets for Anti-HIV-1 Agents as Personalized HIV Therapy: A Review Study

M Jafari, A Shamipak, F Shahsavari… - Personalized Medicine …, 2023 - pmjournal.ir
The enormous genetic variety of the viral population harbored by the patient and the large
volume of therapeutic alternatives characterize HIV therapy. Each patient and period has its …

[HTML][HTML] Using the multiphase optimization strategy (MOST) to optimize an HIV care continuum intervention for vulnerable populations: a study protocol

MV Gwadz, LM Collins, CM Cleland, NR Leonard… - BMC public health, 2017 - Springer
Background More than half of persons living with HIV (PLWH) in the United States are
insufficiently engaged in HIV primary care and not taking antiretroviral therapy (ART), mainly …