Cancer claims millions of lives yearly worldwide. While many therapies have been made
available in recent years, by in large cancer remains unsolved. Exploiting computational …

In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

With the recent advancement of novel biomedical technologies such as high-throughput
sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics …

Purpose. Artificial intelligence (AI) techniques are used in precision medicine to explore
novel genotypes and phenotypes data. The main aims of precision medicine include early …

Simple Summary Cancer remains one of the leading causes of death worldwide, which
emphasizes the need for its early and accurate diagnosis and prognosis. Our review …

Background Drug-target binding affinity (DTA) prediction is important for the rapid
development of drug discovery. Compared to traditional methods, deep learning methods …

For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …

Simple Summary The ongoing advancements in deep learning, notably its use in predicting
cancer survival through genomic data analysis, calls for an up-to-date review. This paper …

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer.
Neoadjuvant systemic therapy (NAST) followed by surgery are currently standard of care for …

Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the
medical field, promoting medical advances. Malignant tumors are the critical focus of …