Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of medicine. Healthcare organizations are now starting to establish management strategies for integrating such platforms (AI-ML toolsets) which leverage the computational power of advanced algorithms to analyze data and to provide better insights which ultimately translates to enhanced clinical decision-making and improved patient outcomes. Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes.

Effects of Elective Percutaneous Coronary Intervention on Subtle Left Ventricular Systolic Dysfunction in Patients With Stable Coronary Artery Disease as Assessed by Global Longitudinal Strain Imaging.

Aim The study aimed to detect subtle left ventricular (LV) systolic dysfunction, reflected by abnormal global longitudinal strain (GLS), in patients with stable coronary artery disease (CAD) undergoing percutaneous coronary intervention (PCI) and to evaluate any improvement in GLS at 24 hours and six months post-PCI. Methods A total of 94 patients with stable CAD scheduled for elective PCI at our hospital were evaluated using conventional 2D echocardiography and GLS prior to the procedure. Follow-up assessments were conducted at 24 hours and six months post-PCI.

Outcome following pylorus resecting pancreaticoduodenectomy versus classical Whipple's pancreaticoduodenectomy: a randomised controlled trial.

Objective: To compare pylorus resecting pancreaticoduodenectomy (PRPD) with classical pancreaticoduodenectomy (classical PD) in terms of short term outcomes.

Background: There is some evidence that Pylorus resecting PD (PRPD) is associated with lesser incidence of DGE when compared to pylorus preserving PD (PPPD). However, no study has previously compared PRPD with classical PD.

Innovations in Drug Delivery Systems for Biologics: Enhancing Stability and Targeted Delivery for Next-Generation Therapeutics.

The aim of this study is to explore and evaluate recent innovations in drug delivery systems (DDS) for biologics, focusing on enhancing stability and targeted delivery to improve the efficacy and safety of next-generation therapeutics. The most recent developments in a variety of DDS, such as nanoparticles, microneedles, hydrogels, and biodegradable polymers, were examined in depth. Information from peer-audited diaries, clinical preliminaries, and mechanical reports were blended to survey the presentation of these frameworks concerning dependability, designated conveyance, patient consistence, and controlled discharge.

Discovery of small molecules against porcine reproductive and respiratory syndrome virus replication by targeting NendoU activity.

Unlabelled: Porcine reproductive and respiratory syndrome (PRRS) remains a major threat to animal health and causes substantial economic losses worldwide. The nonstructural protein 11 (NSP11) of the causative agent, PRRS virus (PRRSV), contains a highly conserved nidoviral uridylate-specific endoribonuclease (NendoU) domain essential for viral replication and immune evasion. Targeting NSP11 offers a novel approach to antiviral intervention.

JHU-2545 preferentially shields salivary glands and kidneys during PSMA-targeted imaging.

Purpose: Prostate-specific membrane antigen (PSMA) radioligand therapy is a promising treatment for metastatic castration-resistant prostate cancer (mCRPC). Several beta or alpha particle-emitting radionuclide-conjugated small molecules have shown efficacy in late-stage mCRPC and one, [[177Lu]Lu]Lu-PSMA-617, is FDA approved. In addition to tumor upregulation, PSMA is also expressed in kidneys and salivary glands where specific uptake can cause dose-limiting xerostomia and potential for nephrotoxicity.

Correction: Attrition in serum anti-DENV antibodies correlates with high anti-SARS-CoV-2 IgG levels and low DENV positivity in mosquito vectors-Findings from a state-wide cluster-randomized community-based study in Tamil Nadu, India.

[This corrects the article DOI: 10.1371/journal.pgph.

A robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network.

Parkinson's disease (PD) is a neurodegenerative disease affecting millions of people around the world. Conventional PD detection algorithms are generally based on first and second-generation artificial neural network (ANN) models which consume high energy and have complex architecture. Considering these limitations, a time-varying synaptic efficacy function based leaky-integrate and fire neuron model, called SEFRON is used for the detection of PD.

Individuals with Heterogenous Trabecular Bone Texture by Clinical MRI have Lower Bone Strength and Stiffness by QCT Based Finite Element Analysis.

Opportunistic screening is essential to improve the identification of individuals with osteoporosis. Our group has utilized image texture features to assess bone quality using clinical MRIs. We have previously demonstrated that greater heterogeneity of MRI texture related to history of fragility fractures, lower bone density, and worse microarchitecture.

Synthetic MRI derived relaxometry parameters: a new insight into characterization of ring enhancing lesions of brain.

Background And Purpose: Synthetic MRI utilizes the quantitative relaxometry parameters to generate multiple contrast images through a single acquisition. We tried to explore the utility of synthetic MRI derived relaxometry parameters in evaluation of ring enhancing lesions of brain.

Materials And Methods: This was a prospective study.

The ATPase activity of yeast chromosome axis protein Hop1 affects the frequency of meiotic crossovers.

Saccharomyces cerevisiae meiosis-specific Hop1, a structural constituent of the synaptonemal complex, also facilitates the formation of programmed DNA double-strand breaks and the pairing of homologous chromosomes. Here, we reveal a serendipitous discovery that Hop1 possesses robust DNA-independent ATPase activity, although it lacks recognizable sequence motifs required for ATP binding and hydrolysis. By leveraging molecular docking combined with molecular dynamics simulations and biochemical assays, we identified an ensemble of five amino acid residues in Hop1 that could potentially participate in ATP-binding and hydrolysis.

Integrating machine learning and remote sensing for long-term monitoring of chlorophyll-a in Chilika Lagoon, India.

Chlorophyll-a (Chla) is recognized as a key indicator of water quality and ecological health in aquatic ecosystems, offering valuable insights into ecosystem dynamics and changes over time. This study aimed to to develop and validate a robust ML model for estimating Chla using Landsat data, produce a time series of Chl a maps, and analyze the spatiotemporal variability of Chla in Chilika Lagoon, Asia's largest brackish water lagoon. Nine ML regression models, including Extreme Gradient Boost, Support Vector Regression, Random Forest, and Bagging Regression, were evaluated using Landsat imagery and field data.

VDAC Solvation Free Energy Calculation by a Nonuniform Size Modified Poisson-Boltzmann Ion Channel Model.

Voltage-dependent anion channel (VDAC) is the primary conduit for regulated passage of ions and metabolites into and out of a mitochondrion. Calculating the solvation free energy for VDAC is crucial for understanding its stability, function, and interactions within the cellular environment. In this article, numerical schemes for computing the total solvation free energy for VDAC-comprising electrostatic, ideal gas, and excess free energies plus the nonpolar energy-are developed based on a nonuniform size modified Poisson-Boltzmann ion channel (nuSMPBIC) finite element solver along with tetrahedral meshes for VDAC proteins.

Efficacy of Lactobacillus spp. Supplementation in Helicobacter pylori Eradication: A Systematic Meta-Analysis of Randomized Controlled Trials With Trial Sequential Analysis.

Background: Helicobacter pylori infection is a major global health concern and has been associated with a number of gastrointestinal disorders. Probiotics, especially Lactobacillus spp., have been suggested to have beneficial effect in managing H.

Unravelling the role of health literacy among individuals with multimorbidity: a systematic review and meta-analysis.

Objective: To examine existing literature regarding health literacy levels and their association with multimorbidity and the potential underlying mechanisms behind the said association.

Design: Systematic review and meta-analysis.

Data Sources: The databases MEDLINE, EMBASE, CINAHL and Science Direct were searched for articles published between 1 January 2000 and 31 October 2023 using a systematic search strategy.

Fourier spectral shaper assisted feedback for wavelength and linewidth control of cascaded Raman fiber lasers.

Cascaded Raman fiber lasers (CRFLs) with wavelength-independent feedback can provide power at any wavelength in near-IR regions. However, broad feedback leads to a broad output spectrum, decreasing spectral power density at a desired wavelength. The output characteristics of CRFLs can be controlled by controlling the feedback.

Halbach Array Induced Magnetic Field Alignment in Boron Nitride Nanocomposites.

Thermal conductivity enhancement in polymers is vital for advanced applications. This study introduces a novel method to align hexagonal boron nitride (hBN) nanosheets within polydimethylsiloxane (PDMS) matrices using a Halbach array to create a highly uniform magnetic field. This technique achieves significant improvements in thermal conductivity by effectively aligning hBN nanosheets.

Microwave-Assisted Synthesis of Platinum-Free High-Entropy Alloy Catalysts on Reduced Graphene Oxide Sheets for Enhanced Oxygen Reduction and Evolution Reactions.

Nano-sized high-entropy materials (HEMs) recently received more attention to researchers due to their superior electrochemical catalytic properties. HEMs comprise at least five elements with or without metals and are synthesized through solid-state reactions and solution-mediated techniques. The presence of many elements in these HEMs result in a high mixing entropy and facilitates the formation of stable solid solutions in fundamental crystal structures.

Burden of neurologic diseases in BRICS countries (1990 to 2021): an analysis of 2021 Global Burden of Disease Study.

Background: Neurological disorders are a major global health concern, especially in BRICS nations (Brazil, Russia, India, China, South Africa), where demographic and socio-economic changes have amplified their impact. This study evaluates trends in incidence, prevalence, mortality, and Disability-Adjusted Life Years (DALYs) associated with neurological diseases in these countries from 1990 to 2021, focusing on sex disparities and key risk factors.

Methods: Data were obtained from the Global Burden of Disease (GBD) 2021 database.

Enhancing soil arsenic immobilization with organic and inorganic amendments: insights from sorption-desorption study.

The retention and mobility of arsenic (As) in soil depend on various physical and chemical factors. The knowledge of the sorption-desorption chemistry of As in soil is necessary for predicting the fate and behavior of As in soil environments. Therefore, this study assessed different organic (sugarcane bagasse and vermicompost) and inorganic amendments (steel slag and fly ash) for their impact on sorption-desorption of As in texturally different contaminated soils (of sandy clay (SC) and sandy clay loam (SCL) texture) to understand the effect of amendments on As retention and mobility.

Hospitalization prediction from the emergency department using computer vision AI with short patient video clips.

In this study, we investigate the performance of computer vision AI algorithms in predicting patient disposition from the emergency department (ED) using short video clips. Clinicians often use "eye-balling" or clinical gestalt to aid in triage, based on brief observations. We hypothesize that AI can similarly use patient appearance for disposition prediction.

Comparison of INTERGROWTH- 21st and Fenton growth standards to assess size at birth and at discharge in preterm infants in the United Arab Emirates.

Background: Accurate growth assessment of preterm infants is essential in guiding medical care and suitable nutritional interventions. Currently, different growth references are used across hospitals in the United Arab Emirates (UAE). This study aims to compare the INTERGROWTH-21st standards with Fenton growth references regarding birth size classification and at the time of discharge in a sample of preterm infants in the UAE.

Assessment of reactor configurations and key factors for enhanced anammox-based nitrogen removal.

Wastewater treatment processes are continually evolving to meet stringent environmental standards while optimizing energy consumption and operational costs. With significant advantages over more traditional approaches, the anammox process has become a hopeful substitute for nitrogen removal. The objective of this work was to evaluate upflow anaerobic sludge blanket reactor (UASBR), moving bed biofilm reactor (MBBR), and sequential batch reactor (SBR) among diverse reactor configurations, in culturing anammox bacteria and achieving nitrogen removal efficiencies.