302 citations · 391 across the 14 of their papers we have counts for
15 papers
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation
Nati Daniel, May Nathan, Eden Azeroual +2
Incorporating artificial intelligence (AI) into digital pathology offers promising prospects for automating and enhancing tasks such as image analysis and diagnostic processes. How…
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…
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis
Ariel Larey, Eliel Aknin, Nati Daniel +9
Eosinophilic esophagitis (EoE) is a chronic allergic inflammatory condition of the esophagus associated with elevated esophageal eosinophils. Second only to gastroesophageal reflux…
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
Nati Daniel, Ariel Larey, Eliel Aknin +9
Background. Eosinophilic esophagitis (EoE) is an allergic inflammatory condition of the esophagus associated with elevated numbers of eosinophils. Disease diagnosis and monitoring…
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
Tomer Czyzewski, Nati Daniel, Mark Rochman +5
Goal: Eosinophilic esophagitis (EoE) is an allergic inflammatory condition characterized by eosinophil accumulation in the esophageal mucosa. EoE diagnosis includes a manual assess…
Binding of transcription factors adapts to resolve information-energy trade-off
Yonatan Savir Jacob Kagan, Tsvi Tlusty
We examine the binding of transcription factors to DNA in terms of an information transfer problem. The input of the noisy channel is the biophysical signal of a factor bound to a…
RecA-mediated homology search as a nearly optimal signal detection system
Yonatan Savir, Tsvi Tlusty
Homologous recombination facilitates the exchange of genetic material between homologous DNA molecules. This crucial process requires detecting a specific homologous DNA sequence w…
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
Yonatan Savir, Tsvi Tlusty
Numerous biological functions-such as enzymatic catalysis, the immune response system, and the DNA-protein regulatory network-rely on the ability of molecules to specifically recog…
Molecular Recognition as an Information Channel: The Role of Conformational Changes
Yonatan Savir, Tsvi Tlusty
Molecular recognition, which is essential in processing information in biological systems, takes place in a crowded noisy biochemical environment and requires the recognition of a…
Cross-species analysis traces adaptation of Rubisco towards optimality in a low dimensional landscape
Yonatan Savir, Elad Noor, Ron Milo +1
Rubisco, probably the most abundant protein in the biosphere, performs an essential part in the process of carbon fixation through photosynthesis thus facilitating life on earth. D…
Conformational Proofreading: The Impact of Conformational Changes on the Specificity of Molecular Recognition
Yonatan Savir, Tsvi Tlusty
To perform recognition, molecules must locate and specifically bind their targets within a noisy biochemical environment with many look-alikes. Molecular recognition processes, esp…