302 citations · 391 across the 14 of their papers we have counts for
5 papers · 1 filter
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery
Ronen Taub, Yonatan Savir
Machine learning, and representation learning in particular, has the potential to facilitate drug discovery by screening a large chemical space in silico. A successful approach for…
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment
Eliel Aknin, Ariel Larey, Julie M. Caldwell +14
Eosinophilic esophagitis (EoE) is a chronic, food antigen-driven, allergic inflammatory condition of the esophagus associated with elevated esophageal eosinophils. EoE is a top cau…
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains
Ronen Taub, Tanya Wasserman, Yonatan Savir
Machine learning, and representation learning in particular, has the potential to facilitate drug discovery by screening billions of compounds. For example, a successful approach i…
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology
Nati Daniel, Eliel Aknin, Ariel Larey +4
Artificial intelligence and machine learning techniques have the promise to revolutionize the field of digital pathology. However, these models demand considerable amounts of data,…
DEPAS: De-novo Pathology Semantic Masks using a Generative Model
Ariel Larey, Nati Daniel, Eliel Aknin +2
The integration of artificial intelligence into digital pathology has the potential to automate and improve various tasks, such as image analysis and diagnostic decision-making. Ye…