Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning.

Skin cancer is among the most prevalent cancers globally, emphasizing the need for early detection and accurate diagnosis to improve outcomes. Traditional diagnostic methods, based on visual examination, are subjective, time-intensive, and require specialized expertise. Current artificial intelligence (AI) approaches for skin cancer detection face challenges such as computational inefficiency, lack of interpretability, and reliance on standalone CNN architectures.

Exploring TAS2R46 biomechanics through molecular dynamics and network analysis.

Understanding the intricate interplay between structural features and signal-processing events is crucial for unravelling the mechanisms of biomolecular systems. G protein-coupled receptors (GPCRs), a pervasive protein family in humans, serve a wide spectrum of vital functions. TAS2Rs, a subfamily of GPCRs, play a primary role in recognizing bitter molecules and triggering events leading to the perception of bitterness, a crucial defence mechanism against spoiled or poisonous food.

Generation of hiPSCs lines from three sporadic Parkinson's disease patients.

Here, we described the generation of human induced pluripotent stem cell lines (hiPSCs) from three sporadic Parkinson's disease (sPD) patients by reprogramming of their peripheral blood mononuclear cells (PBMC).

Molecular Characterization of (Nematoda: Philometridae) in Juvenile (Linnaeus, 1758) from the Tyrrhenian Sea off Sicily, Italy.

is a nematode belonging to the family Philometridae. It was morphologically described for the first time in 2008 in . To date, few data on the molecular characterization of Philometridae have been reported.