Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …

Conspectus Numerous disciplines, such as image recognition and language translation,
have been revolutionized by using machine learning (ML) to leverage big data. In organic …

Neural recordings using invasive devices in humans can elucidate the circuits underlying
brain disorders, but have so far been limited to short recordings from externalized brain …

Association studies have linked microbiome alterations with many human diseases.
However, they have not always reported consistent results, thereby necessitating cross …

Segmentation of abdominal organs has been a comprehensive, yet unresolved, research
field for many years. In the last decade, intensive developments in deep learning (DL) …

Background As more and more researchers are turning to big data for new opportunities of
biomedical discoveries, machine learning models, as the backbone of big data analysis, are …

Gut microbial dysbiosis contributes to the development of colorectal cancer (CRC). Here we
catalogue the microbial communities in human gut mucosae at different stages of colorectal …

Several bacterial species have been implicated in the development of colorectal carcinoma
(CRC), but CRC‐associated changes of fecal microbiota and their potential for cancer …

Machine learning algorithms are generally developed in computer science or adjacent
disciplines and find their way into chemical modeling by a process of diffusion. Though …

A number of supervised machine learning models have recently been introduced for the
prediction of drug–target interactions based on chemical structure and genomic sequence …