Camilo Ruiz

TL;DR: The ability of deep longitudinal profiling to make health-related discoveries, identify clinically relevant molecular pathways and affect behavior in a prospective longitudinal cohort enriched for risk of type 2 diabetes mellitus is explored.

TL;DR: The authors provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical principles(e. g.g. model architectures, training procedures, data, systems, security, evaluation, theory) to their applications.

TL;DR: In this article, a multiscale interactome network is proposed to explain disease treatment, which integrates disease-perturbed proteins, drug targets, and biological functions into a multi-scale interactome.

TL;DR: The multiscale interactome as mentioned in this paper is a powerful approach for the discovery of disease treatment mechanisms, which integrates disease-perturbed genes, protein targets, and functional pathways into a multi-scale interactome network, which contains 478,728 interactions between 1,661 drugs, 840 diseases, 17,660 proteins, and 9,798 functional pathways.

TL;DR: The multiscale interactome predicts what drugs will treat a given disease more effectively than prior approaches, identifies proteins and biological functions related to treatment, and predicts genes that interfere with treatment to alter drug efficacy and cause serious adverse reactions.