Artificial intelligence and machine learning have become important components of the computational toolbox that can be used to advance chemical research and discovery. Our group has been working on advancing AI/ML as it applies to the broad subfields of synthetic organic chemistry (for developing/discovering reactions), medicinal chemistry (for developing/discovering new functional molecules), and analytical chemistry […]

The Leslie lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. They seek to exploit diverse, high-throughput functional and genomic data to understand the molecular networks underlying fundamental cellular processes, including regulation of transcription, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Today's talk will present recent machine learning […]

The initial Human Genome Project was a landmark achievement, serving as an essential resource for basic and clinical science, as well as for understanding human history, for over two decades. However, it is in need of an upgrade due to missing data, inaccurately assembled regions, and its inability to fully represent and identify sequence variants […]

Join us for a lecture from Professor David Mooney, the Pinkas Family Professor of Bioengineering in the Harvard School of Engineering and Applied Sciences, and a Core Faculty Member of the Wyss Institute. Professor Mooney will present his talk: Matrix Viscoelasticity: Control of Cell Fate to Medical Adhesives Reception to follow.

Join the Center for Computational and Digital Health Innovation for a virtual seminar featuring Dr. Ryan Shaw. Speaker biography: Ryan J. Shaw, PhD, RN, an Associate Professor at the Duke University Schools of Nursing and Medicine, is at the forefront of integrating patient-generated health data and emerging technologies into novel care delivery models. His research […]

Sepsis, a life-threatening syndrome arising from a dysregulated host response to infection, exhibits significant heterogeneity in clinical presentation and outcome. This complexity underscores the need for refined stratification strategies beyond traditional clinical parameters. This presentation will explore how the integration of multi-omic data (e.g., genomics, transcriptomics, proteomics, metabolomics) can be leveraged to identify distinct sepsis […]