Alexandre Loupy

Multimodal precision diagnostics in clinical xenotransplantation

AI-enabled clinical trials

Longitudinal alignments and syntheses of multimodal clinical data for personalized medicine with the PULSE framework

Multimodal models capable of imputing diverse data used in single-cell biology studies provide potential foundational opportunities in clinical practice. However, patient data uniquely comprise longitudinal mosaic measurements that reflect underlying physiological dynamics and exhibit temporal covariation, demanding a...

Multiomic analyses in xenotransplantation: Hypothesis generation and the path toward precision diagnostics.

The use of multiomics as a hypothesis-generating tool to guide next-generation donor-pig design and adjust immunosuppression is summarized, while exploring its contribution to the diagnosis of xenograft rejection.

Advancing cancer detection and treatment using longitudinal routine clinical data.

Oncoformer provides a framework for risk-informed cancer prediction and treatment stratification using routine clinical data and was independently validated against postoperative pathological endpoints and shown to converge on core cancer genomic pathways.

Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges

A prioritized roadmap for integrating AI into early clinical xenotransplantation is presented, based on clinical need, data availability, technical readiness, feasibility of clinician‐supervised implementation, and potential impact on graft assessment and safety monitoring.