Healthcare and Life Sciences
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.
- Deep Dive
- See more of our work on Healthcare and Life Sciences
Tools + code
CLaSS: Controlled Latent attribute Space Sampling
Code for an efficient computational method for attribute-controlled generation of molecules, which leverages guidance from classifiers trained on an informative latent space of molecules modeled using a deep generative autoencoder.View project →
A visual platform for exploring the peptide space, modeled by our state-of-the-art peptide autoencoder.View project →
- Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
- AIES 2022
- ACL 2022
- CHI 2022
- Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens
- ICLR 2022
- ICLR 2022
To meet the global challenge of COVID-19, the world must come together. IBM has resources to share — like supercomputing power, virus tracking systems, and an AI assistant to answer citizens’ questions.