Natural products have served as an invaluable source of both drugs and chemical tools to explore a variety of biological processes for chemical biologists. Rapamycin, FK506 and cyclosporin A (CsA) are macrocycles that have played important roles in unraveling cellular pathways and treatments of organ transplants, cancer and other diseases. These macrocycles have a unique and extraordinary mode of ...

We developed a machine learning model to predict left ventricular ejection fraction (LVEF/EF) from parasternal long-axis (PLAX) echocardiographic videos. Because public datasets with labeled PLAX videos are virtually non-existent, our work focuses on an innovative data generation strategy to overcome this scarcity. By leveraging a time-based correlation between clinical notes and echocardiographic...

讲座简介：How do non-elite founding teams attract capital? Building on signaling theory, we propose that disclosing advisory relationships, or formal ties to prominent entrepreneurs, experts, or public figures, can serve as input-based signals of capability and credibility. We predict that disclosed advisor affiliations may substitute for missing input-based signals but are less likely to replace ...

Feeding rhythms regulate exercise performance and muscle energy metabolism. However, the mechanisms regulating adipocyte functions remain unclear. Here, using multi-omics analyses, involving (phospho-)proteomics and lipidomics, we found that day-restricted feeding (DRF) regulates diurnal rhythms of the mitochondrial proteome, neutral lipidome, and nutrient-sensing pathways in mouse gonadal white a...

This talk explores how AI can learn from humans and co-create with humans to capture the richness of human appearance, motion, interactions, and personality. I will present three lines of work: (1) building large-scale 4D datasets such as HUMOTO, which capture human–human and human–object interactions with industry-standard fidelity; (2) developing novel 3D representations and differentiable simul...