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New AI score enhances monitoring of myelodysplastic neoplasms

Weill Cornell Medicine investigators have developed a new AI-based method to assess patients with a form of blood cancer ...
GEN - Genetic Engineering and Biotechnology News

Patient-Derived Tumor Organoids Show Promise for Personalizing Cancer Treatment

Researchers developed a 220-sample pan-cancer patient-derived organoid platform that faithfully mirrors tumors and may ...

Mapping human bone marrow yields new tool, insights on blood cancer

Weill Cornell Medicine investigators have developed a new AI-based method to assess patients with a form of blood cancer ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
The Lancet

The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study

cGastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy dDepartment of Medical and ...
IEEE

DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient ...
IEEE

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...