Integrating AI and Machine Learning in Life Sciences - Allen School Colloquia
Explore cutting-edge research in AI and machine learning applications for life sciences in this 53-minute Allen School Colloquium featuring the AIMS Research Group. Dive into recent advancements in explainable AI, computational biology, and medicine, including COVID-19 detection in medical imaging, synergistic drug combinations for cancer treatment, and contrastive latent variable modeling for biological discovery. Learn about the challenges and opportunities in integrating AI/ML with life sciences, from developing interpretable models to identifying causes and treatments for diseases like cancer and Alzheimer's. Gain insights from PhD students and researchers as they discuss their work on efficient algorithms, theoretical foundations, and practical applications of AI in high-stakes domains such as healthcare and precision medicine.