Bristol Myers Squibb Partnership

Advancing oncology and immunology through AI innovation

BMS

Bristol Myers Squibb

Strategic Pharmaceutical Innovation Partnership

Our partnership with Bristol Myers Squibb represents a transformative collaboration in oncology and immunology, leveraging AI to accelerate drug discovery, optimize clinical trials, and improve patient outcomes in cancer care and immune-mediated diseases.

Drug Discovery

AI-powered molecular design and target identification for novel therapeutics in oncology and immunology.

Clinical Trials

Advanced patient stratification and trial optimization using AI-driven biomarker discovery and analysis.

Patient Care

Personalized treatment recommendations and real-time monitoring for cancer and immune-mediated diseases.

Key Achievements

Novel Drug Targets Identified

AI models identified 15+ new therapeutic targets in immuno-oncology

Clinical Trial Optimization

40% reduction in patient recruitment time using AI-powered matching

Biomarker Discovery

Machine learning identified predictive biomarkers for treatment response

Regulatory Approval

3 AI-assisted drug candidates received FDA Fast Track designation

Impact Metrics

$2.5B+
R&D Investment
18
Active Programs
50K+
Patients Served
65%
Time Reduction

Active Research Programs

CAR-T Optimization

AI-driven optimization of CAR-T cell therapy manufacturing and patient selection for improved efficacy and reduced toxicity in hematologic malignancies.

Phase II ClinicalEnrollment: 245/300

Immuno-Oncology Biomarkers

Machine learning models for identifying novel biomarkers predictive of checkpoint inhibitor response across multiple tumor types.

Biomarker Validation12 Tumor Types

Drug Repurposing Platform

AI-powered screening of existing pharmaceuticals for new oncology indications, accelerating time-to-market for life-saving treatments.

Preclinical Testing8 Candidates

Personalized Dosing

Population pharmacokinetic modeling using AI to optimize dosing regimens for individual patients based on genomic and clinical factors.

Clinical Implementation4 Compounds

Success Stories

Breakthrough in Melanoma Treatment

AI-identified biomarker combination improved patient selection for checkpoint inhibitor therapy, resulting in 85% response rate compared to 45% with standard selection criteria.

Published in Nature Medicine • 2,400+ patients benefited

Accelerated Drug Discovery

Machine learning models reduced lead compound optimization time from 18 months to 6 months, advancing a novel immunotherapy into Phase I trials 2 years ahead of schedule.

FDA Fast Track Designation • $500M cost savings projected

Clinical Trial Revolution

AI-powered patient matching platform reduced trial enrollment time by 60% and improved patient diversity, leading to more representative and faster clinical studies.

15 active trials • 35% increase in minority participation

Partnership Leadership

JA

Dr. Jennifer Adams

VP, Digital Health & AI - BMS

Leading AI integration across BMS R&D pipeline

RK

Dr. Raj Kumar

Chief AI Officer - SynThera

Overseeing pharmaceutical AI partnerships

Next Milestones

Q4 2024: Phase III Trial Initiation

AI-optimized immunotherapy combination

Q1 2025: Regulatory Submission

First AI-assisted BLA filing

Q2 2025: Platform Expansion

Extension to autoimmune diseases

Transforming Cancer Care Together

Our partnership with Bristol Myers Squibb is revolutionizing oncology through AI-powered innovation