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שיוך לתחומים חדש (field_belong_domains)

Researchers: Gabriel Chodick (Medicine), Lior Wolf (Computer Science and AI)

Research

Multimodal Approach for OCT-omics: Personalized Treatment and Failure

Researchers: Gabriel Chodick (Medicine), Lior Wolf (Computer Science and AI)

Health-Biomedicine

Genomic Language Models Integrating Hierarchical Biological Knowledge

Research

Genomic Language Models Integrating Hierarchical Biological Knowledge

Researchers: Dudu Burstein (Biomedicine and Cancer Research)

NLP
Health-Biomedicine

Phenotype-Driven Parallel Embedding of Multi-Omic Data Integration

Research

Phenotype-Driven Parallel Embedding of Multi-Omic Data Integration

Researchers: Elhanan Borenstein (Computer Science and AI + Medicine)

Health-Biomedicine

Uncovering Hidden Biodiversity: Leveraging Machine Learning to Identify Eukaryotic Parasites and Symbionts in Discarded Sequencing Reads

Research

Uncovering Hidden Biodiversity: Leveraging Machine Learning to Identify

Researchers: Dorothee Huschon (Zoology), Tal Pupko (Biomedicine and Cancer Research)

Health-Biomedicine

acc2vec: Developing a Self-supervised Transformer Model for Identification of Animal Behaviors from Accelerometer Data

Research

acc2vec: Developing a Self-supervised Transformer Model for Identification of

Researchers: Yoav Ram (Zoology), Shay Rotics (Zoology), Orr Spiegel (Zoology)

Health-Biomedicine
Environment

Deep Learning Driven Detection and Characterization of Freezing of Gait Associated with Parkinson’s Disease from Daily Living Videos

Research

Deep Learning Driven Detection and Characterization of Freezing of Gait

Researchers: Or Perlman (Biomedical Engineering), Jeffrey Hausdorff (Medicine)

Health-Biomedicine

Harnessing AI for Efficient Phylogenetic Tree Reconstruction: An Adaptive Deep Reinforcement Learning Approach

Research

Harnessing AI for Efficient Phylogenetic Tree Reconstruction: An Adaptive Deep

Researchers: Tal Pupko (Biomedicine and Cancer Research), Yishay Mansour (Compter Science and AI)

Health-Biomedicine

Leveraging a Large Database and Modern Analytics to Assess the Implications of Gestational Diabetes Mellitus for Maternal and Infant Physical and Mental Health

Research

Leveraging a Large Database and Modern Analytics to Assess the Implications of

Researchers: David M. Steinberg (Statistics and Operations Research), Yael Benyamini (Social Work)

Health-Biomedicine

AI-Driven Touchless Pupillometry for Continuous Monitoring in the Neurological Intensive Care Unit

Research

AI-Driven Touchless Pupillometry for Continuous Monitoring in the Neurological

Researchers: Yuval Nir (Medicine), Israel Gannot (Biomedical Engineering), Shai Avidan (Electrical Engineering)

Health-Biomedicine

Leveraging Smartphone Data for Continuous Monitoring in Bipolar Disorder: A Data-Driven Approach

Research

Leveraging Smartphone Data for Continuous Monitoring in Bipolar Disorder: A

Researchers: Uri Nevo (Biomedical Engineering), Yoav Benjamini (Statistics and Operations Research)

Health-Biomedicine

AI-Based Analysis of Tumor Organoids and In-Vivo Xenograft Models as a Novel Approach to Improve Cancer Treatment: Kidney Cancer as a Proof of Concept

Research

AI-Based Analysis of Tumor Organoids and In-Vivo Xenograft Models as a Novel

Researchers: Dr. Oren Pleniceanu (Sheba Medical Center) and Prof. Lior Wolf (Computer Science, TAU)

Health-Biomedicine

TMP Faculty

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