Publications
We believe in the power of open science to drive innovation and foster collaboration. Here are the published papers from our funded researchers.
.svg){kind=icon}
The following publications report findings from projects funded by the Biswas Family Foundation.
Learning Universal Representations of Intermolecular Interactions with ATOMICA
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Generalizable AI Predicts Immunotherapy Outcomes Across Cancers and Treatments
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
StereoPep: Do Molecular Models Understand Stereochemistry? A Benchmark on Synthetic Diastereomeric Peptides
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Machine Learning-Predicted Chromatin Organization Landscape Across Pediatric Tumors
Katherine Pollard, PhD, Director of Data Science & Biotechnology, Gladstone Institutes
Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology
Katherine Pollard, PhD, Director of Data Science & Biotechnology, Gladstone Institutes
Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Medea: A biomolecular sandwich assay to characterize the binding properties of antisense oligonucleotide conjugates
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School
Subscribe
Sign up to hear from us about opportunities, news, and our perspectives.
.avif)
