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An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction.

Traditional vaccine development faced significant hurdles, including lengthy timelines and high costs, which hindered rapid responses to pathogens. Although the emergence of AI offered transformative potential, the necessity for a fully integrated workflow was often overlooked in studies focusing on individual tools. This review addressed a critical gap by synthesizing AI technologies across the v...

ZDHHC5: a pivotal palmitoyltransferase orchestrating signaling networks - unraveling mechanisms and therapeutic horizons.

ZDHHC5, a key member of the DHHC family of palmitoyltransferases, catalyzes S-acylation-a reversible post-translational modification involving the covalent attachment of fatty acids, typically palmitate, to specific cysteine residues on target proteins. This lipid modification plays a critical regulatory role in protein trafficking, membrane association, stability, and the assembly of signaling co...

CellXpress.ai: Machine learning powered system for automation of complex 2D and 3D cell culture workflows.

Attrition in the therapeutic pipeline can often be attributed to a lack of translational efficacy from pre-clinical to clinical phases. Organoids show...

Design and Evaluation of a Faculty Development Workshop Series on Integrating Generative Artificial Intelligence in Medical Education: Mixed Methods Pilot Study.

BACKGROUND: Generative artificial intelligence (GenAI) tools are being increasingly applied to teaching and learning in medical education creating bot...

Artificial intelligence in nutritional assessment and decision making.

PURPOSE OF THE REVIEW: Artificial intelligence (AI) has become an non contourable tool in clinical nutrition practice. This review proposes to discuss...

Nutrigenomics in precision livestock and poultry farming: Enhancing productivity, welfare, and sustainability through gene-tailored diets.

Nutrigenomics has emerged as a valuable framework for improving precision livestock and poultry production by elucidating how diet interacts with gene...

Multi-omics-based machine learning model predicts response and guides treatment in Crohn disease: a case study in nutritional therapy.

BACKGROUND: Biomarkers are needed to predict treatment response and guide therapeutic decisions in Crohn disease (CD). We aimed to develop and validat...

Inverse theory of wavefront shaping in nonlinear scattering media.

Scattering fundamentally limits the propagation of light in complex media, yet controlling it is essential for transformative advances in imaging, sen...

Accuracy of large language model-based artificial intelligence tools for equine topics.

BACKGROUND: Artificial intelligence (AI) platforms are becoming increasingly popular as resources for equine information. However, these platforms gen...

The association of systemic inflammatory indices with all-cause mortality risks in patients with COPD: A cohort study based on machine learning.

This study aimed to comprehensively assess the prognostic value of routinely obtained blood-based systemic inflammatory indices in predicting all-caus...

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personaliz...

AI-Driven Farm-To-Fork Biofilm Detection and Control in Aquatic Foods: From Industry 4.0 to Industry 5.0.

Aquatic foods are essential sources of protein and micronutrients and play a critical role in global nutrition, trade, and livelihoods. However, their...

Research priorities for improved pandemic and epidemic intelligence.

Pandemic and epidemic intelligence integrates surveillance data with contextual knowledge to assess health risks and inform public health decisions. A...

The Correlations and Predictive Capabilities of the "Life's Essential 8" With Respect to All-Cause Mortality and Cardiovascular Disease Mortality Risks in Individuals Experiencing Sleep Disorders: A Prospective Cohort Study From the NHANES (2005-2014).

BACKGROUND: Life's Essential 8 (LE8) is a framework for assessing cardiovascular health (CVH). Individuals with sleep disorders face an elevated risk ...

Intestinal alkaline phosphatase and gut health: insights into homeostasis, barrier protection, and immune signaling.

Intestinal alkaline phosphatase (IAP) is a brush border enzyme critical for maintaining gut homeostasis by detoxifying bacterial endotoxins, regulatin...

A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation.

BACKGROUND: The integration of Large Language and Vision Assistant models with food and nutrition data enables multimodal meal analysis and contextual...

Phase-dependent nutrient requirements of broiler breeder hens for day-old chick production in a field study using interpretable machine learning.

Day-old chick output from broiler breeder flocks is a key determinant of efficiency in the global poultry industry and is highly sensitive to breeder ...

Tracing the evolution of cardiology: Pioneering discoveries and paradigm shifts in cardiovascular care.

Cardiology has undergone an impressive transformation from the initial anatomical observations of William Harvey to the current data-driven precision ...

Anatomy data driven mechanical adaptation of bone tunnel-screw interface in ACL reconstruction.

PURPOSE: Anatomical information about bone microstructure at the anterior cruciate ligament attachment sites could guide biomimetic strategies in ante...

Machine Learning Unveils Dietary Antioxidants as Influential Factors for Diabetes-Cancer Comorbidity: Insights From National Health and Nutrition Examination Survey.

This study aims to assess the predictive value of dietary antioxidants in diabetes-cancer comorbidity using interpretable machine learning (ML) models...