Sara Capponi

Mohamed Ghalwash

Bethany Douglas

Eileen Koski

Kenney Ng

Vibha Anand

Jianying Hu

Anthony Annunziata

Solomon Assefa

Mike Murphy

Michal Rosen-Zvi

Jason Crain

Bum Chul (BC) Kwon

Ajay Royyuru

William Ogallo

Kommy Weldemariam

News

Research

Technical note

Why now is the time to accelerate discoveries in health care

Accelerating discoveries in immunotherapy and disease treatment

IBM Research and JDRF continue to advance biomarker discovery research

IBM and Cleveland Clinic unveil the first quantum computer dedicated to healthcare research

Computer simulations identify new ways to boost the skin’s natural protectors

IBM continues advancing disease progression modeling and biomarkers research using the latest in AI

IBM is partnering with the Oxford Pandemic Sciences Institute

Featured

Research leads IBM’s response to COVID-19

A novel computational method to quantify cell cycles and cell volume variability

CellCycleTRACER

Modern discovery and development of new patient treatments depends on clinical biomarkers from multiple data modalities, including clinical records, imaging, and molecular data, to identify personalized composite phenotypes.

Composite biomarker discovery

Developing image analytics that can quantify pathogenesis in a high-throughput, bias-free and robust way

Computational Pathology

Providing support to all stakeholders in the healthcare system to accelerate processes and shorten time to treatment

Medical Decision Support

Improving patient care and personnel effectiveness.

Video-based Patient Monitoring & Behavioral Analysis

QCE 2024

EMNLP 2024

ACML 2024

Quantum Network

Physical Sciences

Life Sciences

Quantum Systems

Materials Discovery

Healthcare

Impact Science

Accelerated Discovery

The combination of increasingly powerful computers and AI offers the possibility to be able to detect, diagnose, and cure diseases like never before. At IBM Research, we’re working on creating software and AI systems that can convert reams of health data into useable information for clinicians the world over.

Healthcare and Life Sciences

It can take over 10 years to come up with new materials. At IBM Research, we’re looking to accelerate the discovery process using new AI methods, robotics, the hybrid cloud, and quantum computers. Our goal is to unlock new properties and materials to address global challenges in years not decades.

The demand for virtual agents that can handle customer needs has continued to increase dramatically. At IBM Research, we’re building the next generation of artificial intelligence systems that can understand what’s being asked of them and how best to respond as efficiently as possible.

Conversational AI

To trust AI systems, explanations can go a long way. We’re creating tools to help debug AI, where systems can explain what they’re doing. This includes training highly optimized, directly interpretable models, as well as explanations of black-box models and visualizations of neural network information flows.

Explainable AI

We’re creating tools to help AI systems explain why they made the decisions they did. 

Biases can lead to systematic disadvantages for marginalized individuals and groups — and they can arise in any point in the AI development lifecycle. To increase the accountability of high-risk AI systems, we're developing technologies to increase their end-to-end transparency and fairness.

Fairness, Accountability, Transparency

We’re developing technologies to increase the end-to-end transparency and fairness of AI systems. 

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IBM Quantum System One at Cleveland Clinic with people walking by