Infectious Disease

Automated tracking of the brown algal parasite Eurychasma dicksonii with deep learning.

This study presents an automated real-time tracking approach for Eurychasma dicksonii, an intracellular parasite affecting brown algae, using deep learning applied to time-lapse microscopy video analysis. Traditionally, parasite detection and tracking rely on manual observation, resulting in a time-consuming, operator-dependent process prone to inaccuracies. To overcome these limitations, we devel...

Machine learning inspired compact quad port MIMO antenna with circular polarization for multi band wireless applications.

In this work, a compact quad-element MIMO antenna demonstrating resonance at 6.39 GHz, 11.09 GHz, 14.69 GHz, 17.96 GHz encompassing C, X, and Ku bands, respectively within a single compact structure. The designed quad-element MIMO antenna employs a Y-shaped radiating monopole configuration with connected ground elements for easy system integration. Also, the designed MIMO antenna attains geometry ...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

BanglaRiceLeaf: A benchmark dataset for automated rice leaf disease detection and health classification in Bangladesh.

Rice leaf diseases pose a major challenge to crop health and agricultural productivity, particularly when timely and accurate diagnosis is required un...

Correction: TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations.

Microbially driven microplastic degradation: From mining functional microbiota to enhancing remediation potential in diverse environments.

Microplastic (MPs) pollution poses a global threat to ecosystems and human health. Traditional physicochemical methods face limitations like high cost...

Rapid detection of urinary tract infection by analyzing the dried spots of biological fluids using convolutional neural networks.

To find the cause of infectious diseases such as urinary tract infections, a the diagnostic patterning test was used. In this method, the whole blood ...

Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.

Antimicrobial resistance (AMR) in livestock is a growing global health concern with important implications for food security, human and animal health....

Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.

Natural products have an unparalleled track record as sources of clinical drugs. Among them, nonribosomal peptides (NRPs) stand as one of the most the...

Living bacterial reservoir computers for information processing and sensing.

We introduce a systems-level approach to sensing and computing in which Escherichia coli acts as a living reservoir computer, performing complex infor...

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, pla...

Exploring tuberculosis physicians' preferences for AI explainability in China: a protocol for a discrete choice experiment.

INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but its clinical adoption depends not only on accuracy...

Advances, challenges, and opportunities in engineering C5 and C6 sugar transporters in yeast for bio-based industrial biotechnology.

Harnessing biomass for bio-based industrial biotechnology is vital for addressing global energy needs and mitigating climate change. In this context, ...

Application of a deep learning method based on CBCT panoramic reconstruction images for differentiating operationally defined cystic and neoplastic jaw lesions from osteomyelitis: a single-center retrospective study.

This single-center retrospective study developed and internally validated a two-dimensional deep learning model based on cone-beam computed tomography...

User profiles of young breast cancer survivors on Chinese social media: machine learning-based text mining analysis study.

PURPOSE: Social media is vital for improving healthcare access, especially among disadvantaged groups. During the COVID-19 pandemic, young breast canc...

Towards the construction of a virtual yeast.

To advance the computational simulation of cellular life, we propose a virtual yeast, an artificial intelligence (AI)-driven agent that models eukaryo...

Full-Spectrum Analysis With Machine Learning for Quantitative Assessment of Lateral Flow Immunoassays: A Platform Approach.

Lateral flow immunoassays (LFIAs) provide rapid point-of-care results but lack quantitative capabilities. This study presents a platform technology in...

A large-scale single-cell atlas reveals the pulmonary immune panorama in adult patients with influenza.

RATIONALE: The host immune determinants that distinguish protective from life-threatening responses to influenza are poorly understood. Identifying dr...

From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI-Enabled Decision Support.

BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to s...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...