Latest AI and machine learning research in preventive care for healthcare professionals.
Alzheimer's disease (AD) is a severe, growing, multifactorial disorder affecting millions of people ...
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (...
When a familial adenomatous polyposis (FAP) patient's rectal polyp undergoes malignant transformatio...
Deep learning has led to incredible breakthroughs in areas of research, from self-driving vehicles t...
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose diseas...
Due to the excellent biocompatible physicochemical performance, luminogens with aggregation-induced ...
Finding new enzyme variants with the desired substrate scope requires screening through a large numb...
BACKGROUND: Manual microscopic examination remains the golden standard for malaria diagnosis. But it...
SARS-CoV-2 is a highly contagious and dangerous coronavirus that first appeared in late 2019 causing...
BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseas...
Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a class of advan...
Cell-penetrating peptides (CPPs) have great potential to deliver bioactive agents into cells. Althou...
X-ray crystallography is the most commonly employed technique to discern macromolecular structures, ...
Multiplex detection of protein post-translational modifications (PTMs), especially at point-of-care,...
Machine learning-based protein structure prediction algorithms, such as RosettaFold and AlphaFold2, ...
OBJECTIVE: To find a more objective method of assessing which patients should be screened for a vest...
Although various methods based on convolutional neural networks have improved the performance of bio...
PURPOSE: To explore whether a machine-learning algorithm could accurately perform the initial screen...
OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal ...
IMPORTANCE: Annual low-dose computed tomographic (LDCT) screening reduces lung cancer mortality, but...
Diffraction-based structural methods contribute a large fraction of the biomolecular structural mode...