Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease.

The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.

Investigating orbital foreign device-associated malignancies: a scoping review.

Background: While prosthesis-associated malignancies have been acknowledged, awareness among surgeons and patients in the ophthalmologic field remains limited, despite the frequent occurrence of prosthesis-related surgeries. We aim to address this gap through a scoping review of malignancies following ophthalmologic surgeries involving various foreign device/prosthesis/implants.

Methods: Following PRISMA guidelines, we conducted a review using PubMed and Embase for studies on cancer and ophthalmic prostheses/implants.

Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection.

Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.

Methods: A ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters.

Evaluating the potential of Kalanchoe pinnata, Piper amalago amalago, and other botanicals as economical insecticidal synergists against Anopheles gambiae.

Background: Synergists reduce insecticide metabolism in mosquitoes by competing with insecticides for the active sites of metabolic enzymes, such as cytochrome P450s (CYPs). This increases the availability of the insecticide at its specific target site. The combination of both insecticides and synergists increases the toxicity of the mixture.

Genetic predisposition to altered blood cell homeostasis is associated with glioma risk and survival.

Glioma is a highly fatal and heterogeneous brain tumor with few known risk factors. Our study examines genetically predicted variability in blood cell indices in relation to glioma risk and survival in 3418 cases and 8156 controls. We find that increased platelet to lymphocyte ratio (PLR) confers an increased risk of glioma (odds ratio (OR) = 1.