Towards privacy-preserving Alzheimer's disease classification: Federated learning on T1-weighted magnetic resonance imaging data.

Objective: This study aims to address the challenge of privacy-preserving Alzheimer's disease classification using federated learning across various data distributions, focusing on real-world applicability. The goal is to improve the efficiency of classification by minimizing communication rounds between clients and the central server.

Methods: The proposed approach leverages two key strategies: increasing parallelism by utilizing more clients in each communication round and increasing computation per client during the intervals between rounds.

Correlating tissue and plasma‑specific piRNA changes to predict their possible role in pancreatic malignancy and chronic inflammation.

The aggressiveness of pancreatic ductal adenocarcinoma is primarily due to lack of effective early detection biomarkers. Circulating non-coding RNAs serve as diagnostic or prognostic biomarkers in multiple types of cancer. Comparison of their expression between diseased tissue and relevant body fluids such as saliva, urine, bile, pancreatic juice, blood etc.

Second phase CuO boosted photocatalytic activity of fluorine doped CuO nanoparticles.

The photocatalytic activity of fluorine (F) doped CuO nanoparticles (NPs) prepared employing modified sol-gel process was investigated here in this study. Structural and elemental characterization using XRD and XPS data confirmed successful incorporation of F as dopant. F doping led to lattice distortion and reduced crystallinity with smaller crystallite size while promoting the emergence of CuO as the second phase.

Investigating the impact of external application of formalin and potassium permanganate on hematological, immunological, and biochemical profiles in fingerlings.

The present study aimed to elucidate the suitability of formalin and KMnO as therapeutics for fish diseases in Indian major carp, , while considering their impact on fish stress levels. Acute toxicity tests revealed that the 96-hour LC values for formalin and KMnO were 66.58 ppm and 2.

Performance of chest X-ray scoring in predicting disease severity and outcomes of patients hospitalised with COVID-19 in Bangladesh.

Introduction: Evaluation of potential outcomes of COVID-19-affected pneumonia patients using computed tomography scans may not be conceivable in low-resource settings. Thus, we aimed to evaluate the performance of chest X-ray scoring in predicting the disease severity and outcomes of adults hospitalised with COVID-19.

Methods: This was a retrospective chart analysis consuming data from COVID-19-positive adults who had chest X-ray availability and were admitted to a temporary COVID unit, in Bangladesh from 23rd April 2020 to 15th November 2021.