When cells expire, they leave behind an activity log of sorts: RNA expelled into blood plasma that reveal changes in gene ...

Subsequently, ten machine learning (ML) algorithms (AB, DT, ET, GNB, KNN, LR, MLP, RF, SVC, and XGBoost) were applied to selected key genes to classify cancer and normal samples. Upon evaluating model ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Eight Indian-origin researchers have played a transformative role in Artificial Intelligence and Machine Learning across ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session " Predicting the Future using Azure Machine Learning, ...

Bioinformatics: Exploiting Biological Data For Patenting In India. Explore the patentability of bioinformatics inventions, focusing on challenges and strategies for securing patents in India, the US, ...

A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), developed a machine-learning algorithm to study the behavior of proteins within ...

Hub genes in IC/BPS patients were identified through the application of three distinct machine-learning algorithms. Additionally, the inflammatory status and immune landscape of IC/BPS patients were ...

Learn what skills and qualifications are essential for a data scientist in the biotech industry, and how to assess them in your candidates.