Devices and Vaccines

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocage, intrinsic targeting via the transferrin receptor 1, and adaptability for diverse applications. This review integrates recent experimental and computational advances in ferritin-based nanoparticles, Ferritin is used for drug delivery, vaccine deliv...

Concurrent Optimization of Device Architecture, Transport Layers, and Active Layer for Organic Photovoltaics by Machine Learning.

Optimizing organic photovoltaic (OPV) devices requires a holistic understanding of all functional layers, hindered by multiscale, multiphysics interactions difficult to fully model traditionally. While machine learning (ML) excels in active layer development, a framework simultaneously addressing device architecture and transport layers remains underexplored. This work introduces a multicomponent ...

Harnessing the full potential of RRAMs through scalable and distributed in-memory computing with integrated error correction.

Exponential growth in global computing demand is further exacerbated by the high energy requirements of conventional architectures, which are dominate...

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review ...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded in cancer care, yet the scope of U.S. Food and Drug...

Metallic topological structures in bone repair implants: Design, properties, and biological interactions.

Bone repair remains a major clinical challenge. Although traditional metal implants, such as titanium and its alloys, provide mechanical strength, the...

Scientific Accuracy of Large Language Models in Tilted Implant Dentistry: A Guideline-Based Comparative Evaluation.

Tilted dental implant systems are widely used in the rehabilitation of anatomically compromised jaws and are supported by international consensus guid...

Advancing nanomedicine with machine learning: predicting protein corona and nano-bio interactions.

The protein corona (PC) has widely been demonstrated to impact the pharmacokinetics, safety, and efficiency of nanoparticle (NP) systems for clinical ...

LLM-enabled adaptive scheduling in IoT sensing for optimized network performance.

The use of numerous sensors on edge devices, combined with the emergence of AI techniques, makes the IoT environment more intelligent and interactive....

Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.

Semiconductive metal oxide (SMO) gas sensors are extensively used in air monitoring, industrial safety, and hazardous-gas detection due to their high ...

Rhythms of mood: Bidirectional regulation of molecular clocks and neurotransmission in affective disorders.

Mood disorders, primarily major depressive and bipolar disorder, are characterized by significant neurochemical dysregulation and disturbances in biol...

Perceptions of Health Care Professionals on the Integration and Use of AI in Clinical Cancer Care: Interview Study.

BACKGROUND: Artificial intelligence (AI) is increasingly recognized for its potential to transform cancer care. However, much of the existing evidence...

Development of machine learning and nomogram models to predict lung metastasis and prognosticate survival in breast cancer.

PURPOSE: Lung metastasis in breast cancer (BCLM) is a critical determinant of poor prognosis, occurring in approximately 30-50% of advanced cases and ...

Can Algorithms Efficiently Identify Interpretable and Persuasive Message Features? An Agnostic Causal Machine Learning Approach.

Argument strength and message persuasiveness are key constructs in message effects research. Yet, researchers still lack a systematic and efficient ap...

In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.

The rapid growth of artificial intelligence, ubiquitous sensing, and edge computing is exposing fundamental limitations of conventional von Neumann ar...

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged hospitalization, chronic kidney disease, and increas...

Explainable artificial intelligence-enabled intertwined logistics analytics with application in poultry vaccine distribution in the Northwest of Iran.

Intertwining supply chains integrates the corresponding networks across several intersection points, such as suppliers, manufacturers, and transporter...

[Exploration and clinical application of the "digital and intelligent surgery" diagnosis and treatment workflow for oral and maxillofacial tumors].

Tumors in the oral and maxillofacial region present significant clinical challenges due to anatomical complexity and high individual variability, with...

Antimicrobial nanomaterials at the nanoscale: design principles, mechanisms, and global challenges.

The rapid escalation of antimicrobial resistance (AMR) represents a major global health challenge, undermining the clinical efficacy of conventional a...