Alzheimer's disease (AD) is a type of brain disorder that is regarded as a degenerative
disease because the corresponding symptoms aggravate with the time progression. Single …

The book is a comprehensive guide that explores the use of artificial intelligence and
machine learning in drug discovery and development covering a range of topics, including …

Precision medicine relies on the ability to identify associations between genomic data and
its phenotypic expression in order to provide personalized predictions. Phenotype prediction …

For a long time, the traditional injection molding industry has faced challenges in improving
production efficiency and product quality. With advancements in Computer-Aided …

Alzheimer's disease (AD) is a neurodegenerative condition that is hallmarked by senile
dementia, worsens over time, and has no proven treatment. It causes a decline in cognitive …

Medical image segmentation benefits from machine learning advancements, offering
potential automation. Yet, accuracy depends on substantial annotated data and significant …

Identifying and classifying deoxyribonucleic acid (DNA) sequences is a crucial task in
genomics analysis. Deep learning models have shown great potential in this area, with …

The lack of diversity in genomic datasets, currently skewed towards individuals of European
ancestry, presents a challenge in develo** inclusive biomedical models. The scarcity of …

The analysis of genetic point mutations at the population level can offer insights into the
genetic basis of human traits, which in turn could potentially lead to new diagnostic and …