This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

The U.S. healthcare system generates massive volumes of data spanning patients, treatments, and billing but real datasets are often inaccessible due to privacy laws like HIPAA. This project was ...

The ADORE dataset serves as a benchmark to explore the potential and limitations of machine learning in ecotoxicology. It focuses on acute mortality in fish, crustaceans, and algae. It has been ...

Background: The overall incidence of liver metastasis in colorectal cancer is as high as 50%, and surgery remains the only potentially curative approach for the metastatic disease. The recurrence rate ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Rationale and Objectives: Breast cancer molecular subtypes significantly influence treatment outcomes and prognoses, necessitating precise differentiation to tailor individualized therapies. This ...

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types NEW YORK--(BUSINESS WIRE)--Flatiron Health today ...

Abstract: The increasing number of breast cancer-related deaths annually underscores the pressing need for improved prediction and diagnostic techniques. Machine learning offers a promising avenue for ...