Infectious Disease › HIV

Antiretroviral & Cure Research Benefit-Risk Analysis for HIV

HIV treatment is evolving from daily oral ART to long-acting injectables like cabotegravir + rilpivirine, broadly neutralizing antibodies, and emerging cure strategies. ArcaScience provides comprehensive BRA across long-acting injectable safety, PrEP safety monitoring, and cure research toxicity assessment.

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39,000,000+

People living with HIV globally

3,200+

ART clinical trials analyzed

95%+

Viral suppression with modern ART

30+

ARV agents across 7 drug classes

Why HIV Treatment Demands Specialized BRA

HIV presents unique benefit-risk challenges spanning long-acting injectable formulations with novel PK profiles, ambitious cure research involving gene therapy and immunological interventions, and lifelong ART regimens where cumulative toxicity over 40+ years of treatment must be carefully monitored and managed.

Long-Acting Injectable Safety

Cabotegravir + rilpivirine (Cabenuva) represents a paradigm shift from daily oral ART to bimonthly injections, but introduces injection site reactions in up to 84% of patients, complex drug-drug interactions with rifamycins, and the critical risk of viral resistance emergence when injection windows are missed or delayed beyond the recommended dosing interval.

Cure Research Toxicity

HIV cure strategies carry substantial safety considerations: broadly neutralizing antibodies (VRC01, 3BNC117) with infusion reactions and immunogenicity, latency reversing agents (HDACi, PKC agonists) with systemic toxicity, gene therapy approaches including zinc finger nucleases and CRISPR-based editing with off-target effects, and allogeneic bone marrow transplantation with graft-versus-host disease and transplant-related mortality.

Lifelong ART Cumulative Toxicity

With treatment durations exceeding 40 years for many patients, cumulative ART toxicity is a critical BRA concern. Key signals include renal tubular dysfunction (tenofovir disoproxil fumarate), bone mineral density loss, metabolic syndrome and lipodystrophy, cardiovascular risk elevation with protease inhibitors, and neuropsychiatric effects including depression and vivid dreams with efavirenz. Long-term safety profiling requires specialized modeling.

How ArcaScience Addresses HIV BRA

Our modules are configured with HIV antiretroviral data, drug resistance prediction models, long-acting PK modeling, and regulatory templates for ART and cure research submissions.

Data Intelligence

HIV Antiretroviral Data

3,200+ HIV clinical trials including ATLAS-2M, FLAIR, HPTN 083/084, and PARTNER studies. Comprehensive pharmacovigilance databases spanning FAERS, WHO VigiBase, and African cohort data covering populations with the highest global HIV burden. Real-world evidence across all 7 antiretroviral drug classes with resistance mutation databases.

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Decision Intelligence

ARV-Specific AI Models

AI models for drug resistance prediction based on genotypic and phenotypic data, long-acting injectable pharmacokinetic modeling accounting for BMI, injection site, and adherence patterns, cumulative toxicity projection over decades-long treatment durations, and drug-drug interaction risk stratification for complex multi-drug regimens including TB co-treatment.

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Automated Outputs

HIV Regulatory Outputs

PSURs for ART regimens covering all approved antiretroviral combinations, PrEP safety reports for cabotegravir and tenofovir-based prophylaxis across diverse populations, cure research IND submissions with novel safety monitoring frameworks, and post-marketing commitment reports aligned with FDA, EMA, and WHO prequalification requirements for global access programs.

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Platform Performance in HIV

8,500,000,000+

HIV pharmacovigilance data points

68%

Faster drug interaction signal detection

12

ARV-specific AI models deployed

9

HIV regulatory submissions supported

Post-Marketing Surveillance for Long-Acting Injectable Cabotegravir + Rilpivirine

Challenge

A pharma company needed comprehensive post-marketing benefit-risk evaluation for their long-acting injectable cabotegravir + rilpivirine combination, with particular focus on injection site reaction characterization, pharmacokinetic tail effects, and the risk of drug resistance emergence in patients with missed or delayed injection windows.

Result

ArcaScience's AI models identified injection site reaction patterns correlated with injection technique and BMI 3.8x faster than traditional FAERS analysis, while reducing false positive resistance signals by 42% through improved differentiation between true virologic failure and transient viral blips in patients with delayed injections.

3.8x

Faster ISR pattern identification

42%

Reduction in false positive resistance signals

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The ability to differentiate true resistance emergence from transient viral blips in patients with delayed injections was transformative for our post-marketing strategy. ArcaScience's models gave us the confidence to support label updates with robust real-world evidence, reducing unnecessary treatment switches and improving patient outcomes.

VP of Antiretroviral Safety

Global Pharma Company

HIV Antiretroviral BRA

See ArcaScience Applied to HIV

Request a demonstration focused on HIV antiretroviral BRA. Our infectious disease scientists will present long-acting injectable PK modeling, drug resistance prediction, cumulative toxicity assessment, and cure research safety frameworks.

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