Latest AI and machine learning research in preventive care for healthcare professionals.
Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases occur in developing countries. The WHO has proposed screening 70% of women with high-performance tests between 35 and 45 years of age by 2030 to accelerate the elimination of cervical cancer. Due to an inadequate health infrastructure and organized screening strategy, most low- and middle-income countries a...
Accurate prediction and optimization of protein-protein binding affinity is crucial for therapeutic antibody development. Although machine learning-based prediction methods $\Delta\Delta G$ are suitable for large-scale mutant screening, they struggle to predict the effects of multiple mutations for targets without existing binders. Energy function-based methods, though more accurate, are time co...
The increasing size of screening libraries poses a significant challenge for the development of virtual screening methods for drug discovery, necess...
BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical diagnosis remains challenges. Our aim was to inve...
Virtual Screening is an essential technique in the early phases of drug discovery, aimed at identifying promising drug candidates from vast molecula...
Deep learning models have achieved promising results in breast cancer classification, yet their 'black-box' nature raises interpretability concerns....
Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth perception and instrument manipulation. While Monocular ...
<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal cancer (CRC). The most important quality indicators f...
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for...
Background Artificial intelligence (AI) systems can be used to identify interval breast cancers, although the localizations are not always accurate. P...
OBJECTIVE: Breast cancer is one of the leading cancer causes among women worldwide. It can be classified as invasive ductal carcinoma (IDC) or metasta...
This study aims to develop and validate a machine learning (ML) predictive model for assessing mortality in patients with malignant tumors and hyperka...
The AIDS epidemic has killed 40 million people and caused serious global problems. The identification of new HIV-inhibiting molecules is of great im...
A vaccine passport serves as documentary proof, providing passport holders with greater freedom while roaming around during pandemics. It confirms v...
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology po...
Purpose To investigate the issues of generalizability and replication of deep learning models by assessing performance of a screening mammography deep...
Purpose To develop an artificial intelligence (AI) deep learning tool capable of predicting future breast cancer risk from a current negative screenin...
Background Comparative performance between artificial intelligence (AI) and breast US for women with dense breasts undergoing screening mammography re...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this ...
The importance of early Alzheimer's Disease screening is becoming more apparent, given the fact that there is no way to revert the patient's status af...