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Multimodal AI modeling of T cell therapies to predict patient response and nominate advanced cell design strategies

Award Number: OT2OD038101
ORGANIZATION: OFFICE OF THE DIRECTOR, NIH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: OTHER
PERIOD OF PERFORMANCE START DATE: 01/23/2025
PERIOD OF PERFORMANCE END DATE: 01/22/2027

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Multimodal AI modeling of T cell therapies to predict patient response and nominate advanced cell design strategies - ABSTRACT This project will develop novel multimodal artificial intelligence (AI) platforms to predict clinical outcomes for patients treated with chimeric antigen receptor (CAR) T cell therapies and nominate molecular engineering strategies to enhance therapeutic potency and safety. We will build two complementary AI systems: (i) tcellGPT, which integrates single-cell multi-omic, perturbation, and clinical datasets to predict patient response and toxicity based on the molecular profile of infused CAR T cells, and (ii) tnicheAI, which maps the spatial organization and functional state of the tumor microenvironment in multi-modal histopathology images and integrates clinical data to identify suppressive niches that must be overcome by next-generation CAR T cell designs. These models will be fused into tcellAI to holistically predict patient outcomes by combining infusion product profiles, tumor characteristics, and clinical covariates. Key outcomes will include predictive tools to personalize CAR T cell therapies, accelerate preclinical development of novel cell engineering strategies, and elucidate biological mechanisms underlying treatment efficacy and toxicity. Clinical team and bioethicists will be engaged throughout to proactively address fairness, privacy, transparency, and accountability considerations in the AI development lifecycle. The work will be conducted by a diverse team spanning immuno-oncology, machine learning, clinical care, and bioethics to thoughtfully curate datasets, tailor architectures, and validate predictive insights in alignment with stakeholder needs. Ultimately, by enabling more effective, personalized, and equitable cell therapies, this ethically-grounded multimodal AI approach will bring curative treatments to more patients.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $1,681,676 )
2026	2026	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Trans-NIH Research Support	001	1	1/20/2026	SUPPLEMENT FOR EXPANSION	$1,681,676
2026	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Trans-NIH Research Support	000	1	1/19/2026	NEW	$0
														Subtotal = $1,681,676

Issue Date FY: 2025 ( Subtotal = $2,019,991 )
2025	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Trans-NIH Research Support	002	1	9/17/2025	SUPPLEMENT FOR EXPANSION	$346,341
2025	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Trans-NIH Research Support	001	1	3/12/2025	NEW	$0
2025	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Trans-NIH Research Support	000	1	1/23/2025	NEW	$1,673,650
														Subtotal = $2,019,991

Grand Total All Awards = $3,701,667

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Multimodal AI modeling of T cell therapies to predict patient response and nominate advanced cell design strategies

Award Number: OT2OD038101

ORGANIZATION: OFFICE OF THE DIRECTOR, NIH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: OTHER

PERIOD OF PERFORMANCE START DATE: 01/23/2025

PERIOD OF PERFORMANCE END DATE: 01/22/2027

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