Enzymes are widely applied in various industrial applications and processes, including the
food and beverage, animal feed, textile, detergent and medical industries. Enzymes …

Abstract Machine learning as a form of artificial intelligence consists of algorithms and
statistical models for improving computer performance for different tasks. Training data are …

It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …

Identification of AD (Alzheimer's disease)-related genes obtained from blood samples is
crucial for early AD diagnosis. We used three public datasets, ADNI, AddNeuroMed1 …

The stability of proteins is an essential property that has several biological implications.
Knowledge about protein stability is important in many ways, ranging from protein …

Gram-negative bacteria such as Escherichia coli (E. coli) are assumed to be among the
main agents that cause severe mastitis disease with clinical signs in dairy cattle. Rapid …

Sub-clinical mastitis (SCM) affects milk composition. In this study, we hypothesise that large-
scale mining of milk composition features by pattern recognition models can identify the best …

Highlights•Develo** a novel machine learning tool for prediction of potential druggable
proteins.•Remarkable high performance of employed models in prediction.•Introducing new …

Background: Mastitis is the most prevalent disease in dairy cattle and one of the most
significant bovine pathologies affecting milk production, animal health, and reproduction. In …

The aim of this study was to develop a predictive model for mastitis incidence, independent
from Somatic Cell Count (SCC), to provide an alternative, simple, and cost-effective …