Label-Free Field Effect Transistors (FETs) for Fabrication of Point-of-Care (POC) Biomedical Detection Probes.

Field effect transistors (FETs)-based detection probes are powerful platforms for quantification in biological media due to their sensitivity, ease of miniaturization, and ability to function in biological media. Especially, FET-based platforms have been utilized as promising probes for label-free detections with the potential for use in real-time monitoring. The integration of new materials in the FET-based probe enhances the analytical performance of the developed probes by increasing the active surface area, rejecting interfering agents, and providing the possibility for surface modification.

Advancing Lifestyle Medicine in New York City's Public Health Care System.

Chronic diseases are the leading cause of death and disability in the United States, and much of this burden can be attributed to lifestyle and behavioral risk factors. Lifestyle medicine is an approach to preventing and treating lifestyle-related chronic disease using evidence-based lifestyle modification as a primary modality. NYC Health + Hospitals, the largest municipal public health care system in the United States, is a national pioneer in incorporating lifestyle medicine systemwide.

ChatGPT and Vaccine Hesitancy: A Comparison of English, Spanish, and French Responses Using a Validated Scale.

ChatGPT is a popular information system (over 1 billion visits in August 2023) that can generate natural language responses to user queries. It is important to study the quality and equity of its responses on health-related topics, such as vaccination, as they may influence public health decision-making. We use the Vaccine Hesitancy Scale (VHS) proposed by Shapiro et al.

The Impact of Prior Authorization on Clinical Practice and Patient Care Outcomes: A Work Group Report of the AAAAI Prior Authorization Task Force.

The Prior Authorization Task Force of the American Academy of Allergy, Asthma & Immunology (AAAAI), a presidential initiative of David Khan, MD, FAAAI, was established to develop an AAAAI position statement outlining ways to improve health care for our patients, to support legislation that advocates for prior authorization (PA) reform and identify the impact PA has on its membership using a questionnaire survey. This article describes the results of this survey. An electronic anonymous survey questionnaire was developed to assess the impact and burden of PA on AAAAI members and their staff and patients.

Global high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020-2050.

Assessment of current and future growth in the global rooftop area is important for understanding and planning for a robust and sustainable decentralised energy system. These estimates are also important for urban planning studies and designing sustainable cities thereby forwarding the ethos of the Sustainable Development Goals 7 (clean energy), 11 (sustainable cities), 13 (climate action) and 15 (life on land). Here, we develop a machine learning framework that trains on big data containing ~700 million open-source building footprints, global land cover, road, and population datasets to generate globally harmonised estimates of growth in rooftop area for five different future growth narratives covered by Shared Socioeconomic Pathways.

Cell-Specific Impacts of Surface Coating Composition on Extracellular Vesicle Secretion.

Biomaterial properties have recently been shown to modulate extracellular vesicle (EV) secretion and cargo; however, the effects of substrate composition on EV production remain underexplored. This study investigates the impacts of surface coatings composed of collagen I (COLI), fibronectin (FN), and poly l-lysine (PLL) on EV secretion for applications in therapeutic EV production and to further understanding of how changes in the extracellular matrix microenvironment affect EVs. EV secretion from primary bone marrow-derived mesenchymal stromal cells (BMSCs), primary adipose-derived stem cells (ASCs), HEK293 cells, NIH3T3 cells, and RAW264.

Treat the individual and not the angle.

Background: Glaucoma, the silent thief of sight, is one of the most common vision-threatening conditions. Even though POAG (primary open angle glaucoma) is more common, PACG (primary angle closure glaucoma) is the dreaded variant. ISGEO (International Society for Geographical and Epidemiological Ophthalmology) has classified primary angle closure as PACS (primary angle closure suspect), PAC (primary angle closure), and PACG (primary angle closure glaucoma.

Phosphomethylpyrimidine Synthase (ThiC): Trapping of Five Intermediates Provides Mechanistic Insights on a Complex Radical Cascade Reaction in Thiamin Biosynthesis.

Phosphomethylpyrimidine synthase (ThiC) catalyzes the conversion of AIR to the thiamin pyrimidine HMP-P. This reaction is the most complex enzyme-catalyzed radical cascade identified to date, and the detailed mechanism has remained elusive. In this paper, we describe the trapping of five new intermediates that provide snapshots of the ThiC reaction coordinate and enable the formulation of a revised mechanism for the ThiC-catalyzed reaction.

Arterial Input Function (AIF) Correction Using AIF Plus Tissue Inputs with a Bi-LSTM Network.

The arterial input function (AIF) is vital for myocardial blood flow quantification in cardiac MRI to indicate the input time-concentration curve of a contrast agent. Inaccurate AIFs can significantly affect perfusion quantification. When only saturated and biased AIFs are measured, this work investigates multiple ways of leveraging tissue curve information, including using AIF + tissue curves as inputs and optimizing the loss function for deep neural network training.

Serum albumin exposure enhances cell invasiveness and paclitaxel resistance in human neuroblastoma cells, with attenuation by valeriana-type iridoid glycosides.

Neuroblastoma, a prevalent extracranial solid tumor in children, arises from undifferentiated nerve cells. While tumor vasculature, often characterized by increased permeability, influences metastasis and recurrence, the direct impact of blood-borne molecules on tumor progression remains unclear. In the present study, we focused on the effect of exposure to albumin, one of the most abundant proteins in the serum, on human neuroblastoma cells.

Predicting buoyant jet characteristics: a machine learning approach.

We study positively buoyant miscible jets through high-speed imaging and planar laser-induced fluorescence methods, and we rely on supervised machine learning techniques to predict jet characteristics. These include, in particular, predictions to the laminar length and spread angle, over a wide range of Reynolds and Archimedes numbers. To make these predictions, we use linear regression, support vector regression, random forests, K-nearest neighbour, and artificial neural network algorithms.

An observational study to evaluate the awareness of drug treatment, prescription pattern, adverse drug reactions, and adherence in patients of major depressive disorder.

Aims: Due to the paucity of studies in and out of India that dealt with treatment awareness of major depressive disorder (MDD), we decided to assess the awareness of MDD patients, and since adherence and awareness are linked to each other, we assessed adherence too. Prescription pattern studies identify changes in prescriptions due to poor initial response or adverse drug reactions (ADRs), which may result in dose reduction or switching medications and delay remission. Therefore, the study assessed the ADR pattern.

Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.

Objectives: Women's attendance to cervical cancer screening (CCS) is a major concern for healthcare providers in community. This study aims to use the various algorithms that can accurately predict the most barriers of women for nonattendance to CS.

Design: The real-time data were collected from women presented at OPD of primary health centers (PHCs).

calculation of magnetic anisotropy and thermal spin transition in the variable temperature crystal conformations of [Co(terpy)].

The structure-property correlation of [Co(terpy)], which shows a spin crossover at 270 K, has been computationally investigated based on its variable temperature crystal structures. Among the employed DFT functionals, only the re-parametrized hybrid B3LYP* functional could describe the correct spin transition temperature. Explicit consideration of metal-ligand sigma bonding with dynamic electron correlation is found to be necessary for an accurate determination of the SCO temperature with multi-reference calculations.

Three dimensional convolutional neural network-based automated detection of midline shift in traumatic brain injury cases from head computed tomography scans.

Objectives: Midline shift (MLS) is a critical indicator of the severity of brain trauma and is even suggestive of changes in intracranial pressure. At present, radiologists have to manually measure the MLS using laborious techniques. Automatic detection of MLS using artificial intelligence can be a cutting-edge solution for emergency health-care personnel to help in prompt diagnosis and treatment.

Persistent Impact of Antenatal Maternal Anaemia on Child Brain Structure at 6-7 Years of Age: A South African Child Health Study.

Background: The study aim was to determine whether associations of antenatal maternal anaemia with smaller corpus callosum, putamen, and caudate nucleus volumes previously described in children at age 2-3 years persist to age 6-7 years in the Drakenstein Child Health Study (DCHS).

Methods: This neuroimaging sub-study was nested within the DCHS, a South African population-based birth cohort. Pregnant women were enrolled (2012-2015) and mother-child dyads were followed prospectively.

Spectroscopic and dosimetric comparison of tooth enamel separation methods for EPR retrospective dosimetry.

Precise estimation of individual radiation dose utilizing biomaterials (fingernail, bone, and tooth) is very challenging due to their complex sample processing. Despite, tooth enamel, the most mineralized tissue of tooth is used for this purpose due to its high radiation sensitivity and ability to produce radiation induced long lived CO radicals. However, human teeth are not always available, and invasive nature of sample collection adds to the complexity making dose estimation difficult.

Synthesis, molecular docking study and biological evaluation of new pyrrole scaffolds as potential antitubercular agents for dual targeting of enoyl ACP reductase and dihydrofolate reductase.

In this study, new series of N'-(2-(substitutedphenoxy)acetyl)-4-(1H-pyrrol-1-yl)benzohydrazides (3a-j) 4-(2,5-dimethyl-1H-pyrrol-1-yl)-N'-(2-(substitutedphenoxy)acetyl)benzohydrazides (5a-j) were synthesized, characterized and assessed as inhibitors of enoyl ACP reductase and DHFR. Most of the compounds exhibited dual inhibition against the enzymes enoyl ACP reductase and DHFR. Several synthesized substances also demonstrated significant antibacterial and antitubercular properties.

Going Green: Climate Change and Health.

The World population doubled from 4 billion humans to 8 billion humans from 1974 to 2022, and it is unlikely to double again. The population of India has now surpassed China, with around 1.4 billion, and we have also already climbed up to become the world's fifth largest economy.

To Access Knowledge Regarding Organ Donation among Healthcare Workers and Their Willingness toward Organ Donation.

Background: In India, critical shortage of organ donations, particularly deceased donations, has led to a dire situation in India, with thousands of patients waiting for transplants and a significant number of them succumbing. One of the reasons for the shortage of organs for transplantation is unawareness and prejudiced information about organ donation. Being direct or indirect stakeholders, the knowledge regarding organ donation among healthcare workers may play an important role in the donation process.

Randomized, Double-blind, Phase III Trial of Lobeglitazone Add-on to Metformin in Type 2 Diabetes (SENSITIZE INDIA).

Background: The efficacy and safety of lobeglitazone sulfate has been reported only in the Korean population, and no study has been conducted in India.

Materials And Methods: In this 16-week randomized, double-blind, and multicenter study, the efficacy and safety of lobeglitazone sulfate 0.5 mg were evaluated with pioglitazone 15 mg.

Telmisartan Plus Amlodipine as the Preferred Initial Combination in Newly Diagnosed Indian Patients with Hypertension: An Expert Consensus Statements.

Introduction: Hypertension (HTN) remains one of the most important risk factors for cardiovascular (CV) diseases and a leading cause of mortality worldwide. Despite improvement in detection and treatment, poor blood pressure (BP) control rates are observed globally. The situation in India is alarming with only 22.

Comprehensive Analysis of Omicron Subvariants: EG.5 Rise, Vaccination Strategies, and Global Impact.

The emergence of new variants of the SARS-CoV-2 virus during the COVID-19 pandemic has prompted significant developments in the understanding, monitoring, and response to these strains. This comprehensive review focuses on two prominent variants of interest (VoI), XBB. 1.