MIT Jameel Clinic - AI & Health

2:19

'93 Nobel Laureate Phillip Sharp on significance of Boltz-2 and affinity binding

9:07

Des chercheurs du MIT répondent aux questions fréquentes sur l'IA et le risque de cancer du sein

8:02

MIT Researchers answer FAQs about AI predicting breast cancer risk

1:48

A medical perspective on clinical AI at MIT

2:38

MIT PhD student on using AI to generate corgi photos and proteins

1:47

How race-based algorithms can harm patients

2:02

MIT Jameel Clinic AI & Health Summer High School Bootcamp

2:23

MIT AI policy researcher on how will AI affect cancer screening

2:35

How UI Health is using Sybil to transform lung cancer screening with Mary Pasquinelli

7:24

How AI predicts lung cancer risk 6 years in advance

0:59

AI Cures: Marzyeh Ghassemi explains her research project in 30 seconds

1:24

AI Cures: Collin Stultz explains his research project in 30 seconds

0:43

AI Cures: Explain your research project in 30 seconds

1:01

Dr. Lecia Sequist: The future of lung cancer screening

0:42

2022 Year-In-Review: Phillip Sharp

0:25

2022 Year-In-Review: Peter Mikhael & Jeremy Wohlwend

0:24

2022 Year-In-Review: Shrooq Alsenan

0:30

2022 Year-In-Review: Tommi Jaakkola

0:28

2022 Year-In-Review: Marzyeh Ghassemi

0:59

2022 Year-In-Review: Dina Katabi

1:34

2022 Year-In-Review: Regina Barzilay and Lecia Sequist

2:29

In-home wireless device tracks disease progression in Parkinson’s patients

56:02

Jameel Clinic Seminar Series: Armando Solano Lezama

59:21

Jameel Clinic Seminar Series: Collin Stultz

50:05

Jameel Clinic Seminar Series: Kalyan Veeramachaneni

56:52

Jameel Clinic Seminar Series: Peter Szolovits

58:52

Jameel Clinic Seminar Series: Vivek Farias

45:28

Jameel Clinic Seminar Series: Connor Coley

51:05

Jameel Clinic Seminar Series: Marzyeh Ghassemi

52:31

Jameel Clinic Seminar Series: Joseph Davis

57:48

Jameel Clinic Seminar Series: Sixian You

59:13

Jameel Clinic Seminar Series: Fadel Adib

1:02:01

Jameel Clinic Seminar Series: David Sontag and Steven Horng

1:01:06

Jameel Clinic Seminar Series: Joel Voldman

2:12

Personalized Cancer Screening with AI - Adam Yala, PhD Candidate at MIT

45:58

Jameel Clinic Seminar Series: Jonathan Weissman

1:00:56

Jameel Clinic Seminar Series: Muriel Medard

52:34

Jameel Clinic Seminar Series: Dina Katabi

1:02:25

Jameel Clinic Seminar Series: Randall Davis

53:42

Jameel Clinic Seminar Series: Dimitrios Pantazis

50:45

Jameel Clinic Seminar Series: Caroline Uhler and Anthony Philippakis

52:08

Jameel Clinic Seminar Series: Polina Golland and Seth Berkowitz

2:41

AI for Healthcare Equity Conference Summary

1:04:11

Policy Implications and Equity Considerations Panel: AI for Healthcare Equity Conference

32:49

AI Solutions for Addressing Inequity in Breast Cancer Care: AI for Healthcare Equity Conference

18:38

Aleksander Mądry, "Data (Really) Matters": AI for Healthcare Equity Conference

16:01

Collin Stultz, "Identifying Bias in Treatment Decisions": AI for Healthcare Equity Conference

12:47

Anthony Philippakis, "A Data Platform for Public Health": AI for Healthcare Equity Conference

11:57

Dimitris Bertsimas, “Optimized Prediction of Mortality for LTA": AI for Healthcare Equity Conference

17:12

Irene Chen, "Beyond Bias Audits: Equity for the ML Pipeline": AI for Healthcare Equity Conference

1:17:41

Inequities in Access to Medical Care and Health Outcomes Panel: AI for Healthcare Equity Conference

14:10

Marzyeh Ghassemi, “Exploring Healthy Models in ML For Health”: AI for Healthcare Equity Conference

9:12

Jameel Clinic x Wellcome Trust: Building Trustworthy Clinical AI

5:06:40

AI for Healthcare Equity Conference

4:32

AI for Healthcare Equity Conference Preview

2:48

Diverse Vaccine Trials Guided by AI: AI for Healthcare Equity Conference Sneak Peek

3:50

AI Through the Lens of Social Epidemiology: AI for Healthcare Equity Conference Sneak Peek

2:30

Auditing Bias in Healthcare Algorithms: AI for Healthcare Equity Conference Sneak Peek

3:16

Data Labeling Consequences: AI for Healthcare Equity Conference Sneak Peek

2:19

Equity in Precision Medicine: AI for Healthcare Equity Conference Sneak Peek

2:11

Solving Bold Interdisciplinary Problems: AI for Healthcare Equity Conference Sneak Peek

1:39

Identifying Confounding Factors: AI for Healthcare Equity Conference Sneak Peek

2:04

Diverse Data in ML Models: AI for Healthcare Equity Conference Sneak Peek

57:48

Open Problems and AI Opportunities, AI Cures Conference Data-driven Clinical Solutions for COVID-19

46:09

New Directions for COVID Drug Discovery Panel: AI Cures Drug Discovery Conference

18:22

David Gifford: AI Cures Drug Discovery Conference

18:06

Rafael Gomez Bombarelli: AI Cures Drug Discovery Conference

22:45

Jian Tang: AI Cures Drug Discovery Conference

18:08

Kyle Swanson and Jonathan Stokes: AI Cures Drug Discovery Conference

24:36

Maksym Korablyov: AI Cures Drug Discovery Conference

22:03

Wengong Jin: AI Cures Drug Discovery Conference

21:53

Marinka Zitnik: AI Cures Drug Discovery Conference

22:11

Caroline Uhler: AI Cures Drug Discovery Conference

21:52

Bonnie Berger: AI Cures Drug Discovery Conference

4:16:27

AI Cures Drug Discovery Conference

25:12

John Guttag, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

20:19

Constance Lehman, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

19:12

Yonina Eldar, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

18:36

Dimitris Bertsimas, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

20:26

Asu Ozdaglar, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

21:15

Collin Stultz, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

20:14

Dina Katabi, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

5:39

Jameel Clinic PI '20: Shaping the Future of Disease Diagnostics

4:47

Jameel Clinic PI ’20: Causal Experimentation and Modeling with Uncertain Disease Labels

7:15

Jameel Clinic PI ’20: Contactless Monitoring of COVID-19 with Radio Signals

7:09

Jameel Clinic PI ’20: AI/ML in Clinical Mental Health: Depression, Bipolar Disorder, and Anxiety

4:19

Jameel Clinic PI ’20: iBOCA: A Machine Learning App for Early Detection of Cognitive Impairment

4:59

Jameel Clinic PI ’20: Tracking Irregular Red Blood Cell Shapes for Human Diseases with Deep Learning

4:14

Jameel Clinic PI ’20: Deep Learning of Peptide Representations

5:00

Jameel Clinic PI ’20: Improving the Accuracy of Personalized Machine Learning to Monitor Depression

12:23

Jameel Clinic PI ’20: Harnessing Signals of Clinical Effectiveness From EHR Data

4:06

Jameel Clinic PI ’20: Project InCyte: Enhancing Histopathological Diagnosis with Digitization and ML

4:09

Jameel Clinic PI ’20: ML Methods for Screening & Designing Better Therapeutic Molecules

6:52

Jameel Clinic PI ’20: DL System to Identify Combinatorial MEG & PET-based Biomarkers for Alzheimer’s

8:42

Jameel Clinic PI ’20: Deep Learning for Home-based Ultrasonic Screening of Pelvic Organs

4:33

Jameel Clinic PI ’20: ML based Non-Invasive Ultrasound Device to Monitor Blood Pressure

2:59

Jameel Clinic PI ’20: Fast, Structured Clinical Documentation via Contextual Autocomplete

2:22

Jameel Clinic PI ’20: CryoDRGN

32:02

Active Disruption in Pharma | Mathai Mammen | MIT AIDM Conference, Jameel Clinic