AI for Drug Discovery
AI for Health
We believe in accelerating scientific discoveries in the medical domain - from drug discovery to biomarker discovery - using AI-based technology applied to health, chemical, and molecular data, embedded with medical knowledge.
We believe in accelerating scientific discoveries in the medical domain - from drug discovery to biomarker discovery - using AI-based technology applied to health, chemical, and molecular data, embedded with medical knowledge.
Read more about AI for Accelerated Discovery
Accelerated Discovery publications
Collaboration
Publications
Collaboration with Dr. Michal Guindy, Assuta Medical Centers and Ben Gurion University.
Publications
Collaboration with Dr. Lisa Ann Mullen, Johns Hopkins University Hospital: Cancer prediction in digital breast tomosynthesis images
EU Projects
For a complete list of our EU-funded project, see our AI in Healthcare projects page.
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EuCARE How do SARS-COV-2 variants, coupled with other factors, influence the clinical course of COVID-19? Is there any vaccine or test escape related to variants? Do variants influence the spread in the school setting, and how? Can we define a better testing and containment strategy in the school setting? What is the impact of containment measures, including schools closure, on pupils and teachers? These are some of the questions that the EuCARE project will strive to answer. |
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BigMedilytics Optimization of neoadjuvant breast cancer treatment by using mammograms and MRI diagnostic imaging along with clinical data. This is part of a larger effort aimed at using AI for streamlining various medical treatments and processes. |
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CAPABLE - CAncer PAtients Better Life Experience Combining advanced technologies for data and knowledge management with a sound socio-psychological approach for developing a coaching system that improves patients' quality of life after cancer treatment. |
Academic Courses
Machine Learning for Healthcare
Yishai Shimoni, Department of Computer Science, Bar-Ilan University
Michal Rosen-Zvi, The Hebrew University of Jerusalem, 2018
Awards
Won 2nd place in the DBTex Challenge to detect biopsy-verified lesion locations in digital breast tomosynthesis
The team collaborated with NYU on a paper published in Nature Machine Intelligence "Lessons from the First DBTex Challenge" and came in 2nd place in phase 2 of the challenge.
Won 2nd place in the KITS 2021 challenge for kidney and kidney tumor segmentation.
using our solution based on algorithms by Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon described in "An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans" which also won Best Paper at the MICCAI workshop.
The team won 1st place at the first Partners HealthCare Biobank Disease Challenge.
Talks
Michal Ozery-Flato
Predictive and Causal Analysis of Medical Imaging Utilization and Findings During COVID-19: A Cohort Study in a Nationwide Israeli Health Organization
Talk at the Reichman University (IDC Herzliya)
(April 25, 2022)
Michal Rosen-Zvi
Acceleration of Biomarker Discovery in Multimodal Data of Cancer Patients - Promising Results
Keynote at AAAI workshop
(March, 2022)
Michal Ozery-Flato
Identifying Drug Repurposing Candidates from Real-World Data: a Parkinson's Disease Case Study
Talk for Biomed 2021 – Israeli Life science and technology week
(May 11-13, 2021)
Michal Rosen-Zvi
From Prediction to Causal Inference: Identifying Unknown Benefits of Existing Drugs from Retrospective Patients Data
Talk for Digital Medicine Conference Israel
(June 1, 2021)
More talks
Efrat Hexter
Breast cancer as a case study
Talk at the Eindhoven University of Technology Seminar on Deep learning in healthcare
(June 21, 2021)
Let's talk
Want to collaborate? We're always happy to talk. Feel free to get in touch.
Michal Ozery-Flato
AI for Health Area Focal Point
Working together
with IBM Research - Israel
Our published papers
Our catalog of recent publications authored by IBM researchers, in collaboration with the global research community.
Open positions and internships
Join some of the best scientists from around the world, at IBM Research - Israel. This is a list of the current open positions, including internships and and student opportunities.
Meet our interns
Explore
Grants &
fellowship
IBM supports students in their research, encourages and invites the Fellowship winners to do an internship in order to be better informed with the the research done by the company.
EU funded
projects
IBM Research - Israel is involved in over 30 EU-funded consortiums and conducts numerous joint projects with academic and industrial partners around the world.
