Microbiome data predictive analysis within a machine learning (ML) workflow presents
numerous domain-specific challenges involving preprocessing, feature selection, predictive …

Pivotal work in recent years has cast light on the importance of the human microbiome in
maintenance of health and physiological response to drugs. It is now clear that …

Despite advances in sequencing, lack of standardization makes comparisons across studies
challenging and hampers insights into the structure and function of microbial communities …

Glaucoma causes irreversible blindness. In 2020, about 80 million people worldwide had
glaucoma. Existing machine learning (ML) models are limited to glaucoma prediction, where …

Despite its harsh and dry environment, human skin is home to diverse microbes, including
bacteria, fungi, viruses, and microscopic mites. These microbes form communities that may …

The rapid development of machine learning (ML) techniques has opened up the data-dense
field of microbiome research for novel therapeutic, diagnostic, and prognostic applications …

A significant milestone in China's carbon market was reached with the official launch and
operation of the National Carbon Emission Trading Market. The accurate prediction of the …

XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

High-throughput technologies such as next-generation sequencing allow biologists to
observe cell function with unprecedented resolution, but the resulting datasets are too large …

Bioprospecting is the discovery and exploration of biological diversity found within
organisms, genetic elements or produced compounds with prospective commercial or …