Results 91 to 100 of about 1,238,639 (328)
The intersection of Artificial Intelligence (AI) and medical science has shown great promise in recent years for addressing complex medical challenges, including the early detection of Alzheimer’s disease (AD).
Jha Shambhu Kumar +2 more
doaj +1 more source
G-Networks to Predict the Outcome of Sensing of Toxicity
G-Networks and their simplified version known as the Random Neural Network have often been used to classify data. In this paper, we present a use of the Random Neural Network to the early detection of potential of toxicity chemical compounds through the ...
Ingrid Grenet +2 more
doaj +1 more source
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Novel Ensemble Learning Algorithm for Early Detection of Lower Back Pain Using Spinal Anomalies
Lower back pain (LBP) is a musculoskeletal condition that affects millions of people worldwide and significantly limits their mobility and daily activities.
Moin Haider +6 more
doaj +1 more source
CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia [PDF]
Background: Computer aided diagnosis (CAD) becomes one of the most important diagnostic tools for urgent states in cerebral stroke and other life-threatening conditions where time plays a crucial role.
Bulski, Tomasz +4 more
core
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
Comparative Evaluation of Ensemble Learning Algorithms for Early Detection of Diabetes
Diabetes is a severe metabolic disorder that poses a significant worldwide health challenge. Early detection is crucial to avoid serious complications and reduce healthcare burdens. Despite the rising use of machine learning in medical diagnostics, many
Abdoul Malik
doaj +1 more source
This review serves to evaluate the screening and diagnostic strategies for gestational diabetes and overt diabetes in pregnancy. We focus on the different early screening and diagnostic approaches in first trimester including fasting plasma glucose ...
Evelyn A. Huhn +3 more
doaj +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Lithium plating in lithium-ion batteries (LIBs) is one of the main causes of safety accidents in electric vehicles (EVs). The study of intelligent machine learning-based lithium plating detection and warning algorithms for LIBs is of great importance ...
Guangying Zhu +7 more
doaj +1 more source

