We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
In the lingo of the field, dopamine-producing cells are measuring a reward prediction error — the difference between the ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Abstract: This innovative research uses datasets from Kaggle to leverage Machine Learning (ML) techniques to develop a complete unified disease prediction system. With its comprehensive coverage of ...
Center for Systems Biology and Molecular Medicine (An ICMR-Collaborating Center of Excellence 2024-2029), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India ...
Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback