Seminar Series

Time: 4 - 5:00PM EST

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Location: Patil/Kiva Seminar Room, 32-G449

9/22/21

Past event

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Polina Golland

Multimodal Learning for Fluid Status Assessment in Heart Failure Patients

9/29/21

Past event

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Caroline Uhler

Representation Learning to Elucidate the Disease Mechanisms in Atrial Fibrillation

10/13/21

Past event

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Dimitrios Pantazis

Digital biomarker for a low cost ambulatory test for early detection of Alzheimer's disease

10/20/21

Past event

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Elazer Edelman

How AI and Machine Learning have changed Medical Innovation and Clinical Practice.

10/27/21

Past event

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Rosalind Picard

Personalizing Machine Learning for Mental Health

11/03/21

Past event

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Randall Davis

Inadvertent Multimodal Signals As Indicators of Preclinical Cognitive Decline

11/10/21

Past event

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Dina Katabi

Using AI to Develop Objective Sensitive Measures for Assessing Diseases: Parkinson's and Atopic Dermatitis

11/17/21

Past event

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Muriel Medard

Outsourcing Training of Sensitive Medical Data Secure Multi-Party Collaboration

12/01/21

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Jonathan Weissman

Mapping Spatiotemporal Dynamics of Single Cells During Carcinogenesis

12/08/21

Registration coming soon

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Joseph Davis

Resolving Structures of Molecular Machines in their Native Cellular Environment

2/02/22

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Joel Voldman

Robust Multimodal Learning of Prognostic Biomarkers in Sepsis

2/09/22

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Connor Coley

Sample-efficient Molecular Optimization and Property Prediction in Low Data Settings

2/16/22

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Fadel Adib

Wireless Seismocardiography: Enabling Long-Term Non-Contact Cardiovascular Monitoring

2/23/22

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Vivek Farias

Causal Inference in Large-Scale Observational Omics Data

3/02/22

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Sixian You

Optics and Machine Learning for Real-time Cancer Diagnosis

3/09/22

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Marzyeh Ghassemi

Fair Organ Allocation Learning

3/16/22

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Tommi Jaakkola

In Silico Drug Design

3/23/22

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Georgia Perakis

Interpretable ML for Understanding, Predicting, and Treating Sepsis in the Age of COVID

3/30/22

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Peter Szolovits

Guessing What You Almost Know: Imputing Missing and Inconsistent Clinical Data

4/06/22

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Kalyan Veeramachaneni

Digital Cognitive Testing: Progress, Challenges and Use of Machine Learning