The Relationship between Body Mass Index and Level of Response to Alcohol Across the Spectrum of Alcohol Use: Total Body Water and Beyond.

Background: A low level of response (LR) to alcohol is a known risk factor for alcohol use disorder (AUD). Although higher total body water (TBW) is associated with lower blood alcohol concentrations and reduced responses following alcohol consumption, the relationship between morphometric measures such as body mass index (BMI) and LR is less clear. This study aimed to examine the relationship between BMI and LR to alcohol, and the contribution of TBW to this relationship.

Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.

Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.

Association between dietary fructose and human colon DNA methylation: implication for racial disparities in colorectal cancer risk using a cross-sectional study.

Background: An increasing body of evidence has linked fructose intake to colorectal cancer (CRC). African American (AA) adults consume greater quantities of fructose and are more likely to develop right-side colon cancer than European American (EA) adults.

Objective: We examined the hypothesis that fructose consumption leads to epigenomic and transcriptomic differences associated with CRC tumor biology.

Differentiation between renal cell carcinoma metastases to the pancreas and pancreatic neuroendocrine tumors in patients with renal cell carcinoma on CT or MRI.

Purpose: To determine whether renal cell carcinoma metastases (RCC-Mets) to the pancreas can be differentiated from pancreatic neuroendocrine tumors (PNETs) in patients with RCC on CT or MRI at presentation.

Methods: This retrospective study included patients with biopsy-proven RCC-Mets (n = 102) or PNETs (n = 32) at diagnosis or after nephrectomy for RCC. Inter-observer agreement (Cohen kappa) was assessed in 95 patients with independent reads by two radiologists, with discrepancies resolved by consensus for final analysis.

Advanced Imaging Techniques for Assessing Fat, Iron, and Fibrosis in Chronic Liver Disease.

Imaging plays a critical role in the management of chronic liver disease (CLD) because it is a safe and painless method to assess liver health. The widely used imaging techniques include ultrasound, computed tomography and magnetic resonance imaging. These techniques allow the measurement of fat deposition, iron content, and fibrosis, replacing invasive liver biopsies in many cases.

Stratification of Alzheimer's Disease Patients Using Knowledge-Guided Unsupervised Latent Factor Clustering with Electronic Health Record Data.

Background: People with Alzheimer's disease (AD) exhibit varying clinical trajectories. There is a need to predict future AD-related outcomes such as morbidity and mortality using clinical profile at the point of care.

Objective: To stratify AD patients based on baseline clinical profiles (up to two years prior to AD diagnosis) and update the model after AD diagnosis to prognosticate future AD-related outcomes.

High-fidelity computational fluid dynamics modeling to simulate perfusion through a bone-mimicking scaffold.

Breast cancer cells sense shear stresses in response to interstitial fluid flow in bone and induce specific biological responses. Computational fluid dynamics models have been instrumental in estimating these shear stresses to relate the cell mechanoresponse to exact mechanical signals, better informing experiment design. Most computational models greatly simplify the experimental and cell mechanical environments for ease of computation, but these simplifications may overlook complex cell-substrate mechanical interactions that significantly change shear stresses experienced by cells.

The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study.

Background: Patient notes contain substantial information but are difficult for computers to analyse due to their unstructured format. Large-language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4), have changed our ability to process text, but we do not know how effectively they handle medical notes. We aimed to assess the ability of GPT-4 to answer predefined questions after reading medical notes in three different languages.

Cerebral collateral flow state in acute ischemic stroke correlates with clinical functional outcomes in non-thrombectomy patients.

Introduction: Hypoperfusion index ratio (HIR) measured by computerized tomography perfusion (CTP) has been shown to predict collateral flow state in acute ischemic stroke (AIS). Low HIR (<0.4) is indicative of good collateral flow state.

Ophthalmic Manifestations of Angiolymphoid Hyperplasia with Eosinophilia: A Systematic Review and Pooled Analysis of 86 Cases.

Purpose: This systematic review aims to consolidate evidence on ophthalmological manifestations of angiolymphoid hyperplasia with eosinophilia, focusing on its presentation, diagnosis, and management.

Methods: Preferred reporting items for systematic reviews and meta-analyses-adherent systematic review was conducted across 3 databases from inception until September 2024. Case reports and series detailing angiolymphoid hyperplasia with eosinophilia in ocular structures were included.

Single-Nucleus Atlas of Cell-Type Specific Genetic Regulation in the Human Brain.

Genetic risk variants for common diseases are predominantly located in non-coding regulatory regions and modulate gene expression. Although bulk tissue studies have elucidated shared mechanisms of regulatory and disease-associated genetics, the cellular specificity of these mechanisms remains largely unexplored. This study presents a comprehensive single-nucleus multi-ancestry atlas of genetic regulation of gene expression in the human prefrontal cortex, comprising 5.

Imaging and Nonsurgical Management of Renal Masses.

In patients with renal masses, when intervention is warranted, partial nephrectomy is preferred when feasible, especially for T1 renal masses. Thermal ablation, however, has become an accepted alternative treatment of small renal neoplasms with excellent oncologic outcomes. The National Comprehensive Cancer Network guidelines include thermal ablation as a treatment strategy for managing T1a and select T1b masses.

Antioxidant, Anticancer, Hepatoprotective and Wound Healing Activity of Fucopyranose (Sulfated Polysaccharides) from (L.).

The emergence of various diseases such as cardiovascular, aging and cancer are due to oxidative stress as well as the shortage of enough antioxidant materials. Our study was intended to analyze the anticancer, antimicrobial, wound healing as well as hepatoprotective activities of purified sulfated polysaccharides derived from The sulfated polysaccharide was subjected to partial purification using DEAE cellulose. The sulfated fraction was identified by HPLC, FTIR, H-NMR and GC-MS.

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments.

Background: Longitudinal tracking of multiple sclerosis (MS) symptoms in an individual's own environment may improve self-monitoring and clinical management for people with MS (pwMS).

Objective: We present a machine learning approach that enables longitudinal monitoring of clinically relevant patient-reported symptoms for pwMS by harnessing passively collected data from sensors in smartphones and fitness trackers.

Methods: We divide the collected data into discrete periods for each patient.

A comparative evaluation of retention of record bases fabricated digitally in various types of posterior palatal seal area.

Objectives: Intraoral scanners used for the fabrication of milled and 3D-printed complete dentures simplify the procedure. However, its effectiveness in recording the functional peripheral seal area needs to be researched. Therefore, this study aims to assess the retention of conventional, milled and 3D-printed denture bases made from conventional impression technique and digital scans in different types of post palatal seal area.

The effects of chemogenetic targeting of serotonin-projecting pathways on L-DOPA-induced dyskinesia and psychosis in a bilateral rat model of Parkinson's disease.

Introduction: Parkinson's disease (PD) is commonly characterized by severe dopamine (DA) depletion within the substantia nigra (SN) leading to a myriad of motor and non-motor symptoms. One underappreciated and prevalent non-motor symptom, Parkinson's disease-associated psychosis (PDAP), significantly erodes patient and caregiver quality of life yet remains vastly understudied. While the gold standard pharmacotherapy for motor symptoms Levodopa (LD) is initially highly effective, it can lead to motor fluctuations like LD-induced dyskinesia (LID) and non-motor fluctuations such as intermittent PDAP.

Computed tomography-based radiomics and body composition model for predicting hepatic decompensation.

Primary sclerosing cholangitis (PSC) is a chronic liver disease characterized by inflammation and scarring of the bile ducts, which can lead to cirrhosis and hepatic decompensation. The study aimed to explore the potential value of computational radiomics, a field that extracts quantitative features from medical images, in predicting whether or not PSC patients had hepatic decompensation. We used an in-house developed deep learning model called the body composition model, which quantifies body composition from computed tomography (CT) into four compartments: subcutaneous adipose tissue (SAT), skeletal muscle (SKM), visceral adipose tissue (VAT), and intermuscular adipose tissue (IMAT).

Olfactory outcomes in skull base surgery.

Purpose Of Review: This review examines the impact of skull base surgery on olfactory function, a critical yet often overlooked aspect of postoperative quality of life. As surgical techniques continue to evolve, understanding their impact on olfaction is key to optimizing patient outcomes.

Recent Findings: The relationship between skull base surgery and olfactory function continues to be debated in the literature.

Current trends in digital shade matching - A scoping review.

Shade selection plays an important role in the success of any prosthesis and is largely influenced by technological advancements and societal trends, which emphasize the need for accurate shade selection. This scoping review aims to assess the accuracy of shade matching with any of the digital shade selection methods compared to the conventional method. This review employs PRISMA extension protocols for scoping review and search strategies based on keywords performed in PubMed, Scopus, and Cochrane databases.

Shedding Light on the Molecular Diversities of miRNA in Cancer- an Exquisite Mini Review.

Short non-coding ribonucleic acids are also known as "Micro ribonucleic acids (miRNAs)". The miRNAs make a contribution to the regulation of genes and mitigation of cancer cell growth in humans. miRNAs play a significant role in several BPs, namely apoptosis, cell cycle progression, and development.

Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays.

Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. We trained and tested the AI system on a large dataset, assessed generalizability on publicly available data, and evaluated radiologist and non-radiologist physician accuracy when unaided and aided by the AI system.

A human gut fatty acid amide hydrolase.

Undernutrition in Bangladeshi children is associated with disruption of postnatal gut microbiota assembly; compared with standard therapy, a microbiota-directed complementary food (MDCF) substantially improved their ponderal and linear growth. Here, we characterize a fatty acid amide hydrolase (FAAH) from a growth-associated intestinal strain of cultured from these children. This enzyme, expressed and purified from hydrolyzes a variety of -acylamides, including oleoylethanolamide (OEA), neurotransmitters, and quorum sensing -acyl homoserine lactones; it also synthesizes a range of -acylamides, notably -acyl amino acids.