Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Nowadays vast swathes of data are being generated in biological laboratories across the globe. These might emanate from genetic sequencing, metabolome analysis or similar. Advances such as these have ...

The progress of machine learning over the past decade, driven by the advent of deep learning, has been remarkable. And systems biology, which seeks to understand the big picture by collecting large ...

In fields such as biotechnology, medicine, pharmaceutical, health care, and life sciences, the need to ensure human health and safety is of the highest priority when deploying artificial intelligence ...

The dataset will be publicly available for a Kaggle competition presented at NeurIPS 2022 hosted by Open Problems in Single-Cell Analysis in collaboration with Chan Zuckerberg Initiative, Chan ...

The rapidly expanding field of machine learning is driving significant innovations across various industries, with profound implications for healthcare and biological research. The upcoming Special ...

The Kushal Dey lab in the Computational and Systems Biology program at the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, has 1 postdoctoral fellow position available in ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

Live-cell imaging is a key technique in cell biology; however, analyzing and interpreting acquired live-cell imaging data can prove difficult due to its complexity and multidimensionality. By ...

A joint team of researchers from Constructor University and Constructor Technology have harnessed the power of machine learning to uncover new findings about human thyroid health. In a new study ...