Clinical Augmented Intelligence (CLAI) Group

Integrating Medicine, Data Science, & Phenomenology to enrich human phenotype models.

News
Alaleh Matched in Cardiology program at BWH

Mar 25, 2024
Media 📻

Long COVID augmented definition publications

Aug 25, 2023
Publication 📝

Temporal AD characterization published in Lancet's eBioMedicine

May 29, 2023
Publication 📝

Temporal COVID severity estimate published in JAMA Network Open

Apr 13, 2023
Publication 📝

COVID-19 severity assessment framework published in JAMA Network Open

Oct 25, 2022
Publication 📝

R01 Grant funded by NIAID

Jul 20, 2022
Research 🔬

R01 Grant funded by NIA

May 27, 2022
Research 🔬

AI bias evaluation framework published in JAMIA

May 12, 2022
Publication 📝

STAT News story on our AI bias framework

May 11, 2022
Media 📻

Best paper award for tSPM phenotyping paper!

Nov 9, 2021
Publication 📝

Long COVID study featured nationally and internationally

Sep 30, 2021
Media 📻

First Long COVID article published in BMC Medicine

Sep 27, 2021
Publication 📝

MLHO's first article published in Scientific Reports

Mar 5, 2021
Publication 📝

COVID-19 mortality prediction study featured in media

Feb 6, 2021
Media 📻

COVID-19 Mortality prediction paper published

Feb 5, 2021
Publication 📝

The GTL approach published in JAMIA

Oct 12, 2020
Publication 📝

The tSPM algorithm published in Cell Patterns

Jun 18, 2020
Publication 📝

Best paper award for DQe-c!

Aug 19, 2019
Publication 📝

See all news
Research

Led by Hossein Estiri the Clinical Augmented Intelligence Group’s research is at the intersection of medicine, data science, and phenomenology, developing enriched computational models of human phenotypes.

Post-COVID AI Symposium
Post-COVID AI Symposium

Boston, MA - September 20th, 2023

May 23 MGH COVID AI Symposium

Agenda

Temporal SARS-CoV-2 Severity Estimates
Temporal SARS-CoV-2 Severity Estimates

estimating and predicting the true severity of SARS-CoV-2

transitive sequential pattern mining (tSPM)
transitive sequential pattern mining (tSPM)

Mining meaningful temporal representations from clinical data

Publication 📝
Research Impact
Research Impact

Research with national and international impact

Media 📻
MLOps for life sciences

Instrumenting Machine Learning Operations for Clinical Research

Publication 📝
Evaluating Bias in Medical AI
Evaluating Bias in Medical AI

An objective framework for evaluating unrecognized bias in medical AI models

Research 🔬
Breaking New Ground; Generative Models in Informatics and Computational Medicine
Breaking New Ground; Generative Models in Informatics and Computational Medicine

Introducing Generative Transfer Learning

Generative models for computational phenotyping
Generative models for computational phenotyping

A generative modeling approach for ML-based phenotyping with observational data

Thinkin' AI with MLHO
Thinkin' AI with MLHO

A data-centric approach AI/ML system that learns over time

Publication 📝
See all research
Team

We are a team of data scientists, clinicians, and epidemiologists pushing the science of data-driven precision medicine and digital epidemiology.

meet all!
Clinical Augmented Intelligence Group (CLAI)
Hossein Estiri

Director

Clinical Augmented Intelligence Group (CLAI)
Open positions

postdoc/research scientist/student

Clinical Augmented Intelligence Group (CLAI)
Jiazi Tian

Data Scientist

Clinical Augmented Intelligence Group (CLAI)
Alaleh Azhir

Investigator

Clinical Augmented Intelligence Group (CLAI)
Jingya Cheng

Research Scientist

© 2024 CLAI

scholars   twitter   Github

We use cookies and other tools to enhance your experience on our website and to analyze our web traffic. For more information about these cookies and the data collected, please refer to our Privacy Policy.

×