AIMC Topic: Humans

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An Aerosol Jet-Printed Wearable Graphene/Cellulose Nanocrystal Acoustic Sensor for Speech Recognition.

ACS sensors
Wearable acoustic sensors offer a promising solution for effective communication for individuals with speech impairments by calibrating throat vibrations and converting them to synthesized speech. We developed a new type of piezoresistive acoustic se...

Personalized Cancer-Specific Protein-Aptamer Corona for Orthogonal Multiplex Cancer Diagnosis.

Journal of the American Chemical Society
Aptamers are powerful synthetic recognition elements for biosensing, yet their application in complex biofluids, such as human serum, is critically limited by enzymatic degradation. To overcome this fundamental challenge, we introduce a novel analyti...

Advancing DNA and RNA Modification Detection via Nanopore Sequencing.

ACS nano
DNA/RNA modifications are crucial for biological processes. To understand their regulatory mechanisms, precise mapping and quantification of these modifications are essential. Although next-generation sequencing can detect the location and stoichiome...

Photoresponsive HOF-Based Platforms for Large Language Model-Assisted Multimodal Diagnosis of Metabolic Diseases.

Analytical chemistry
Artificial intelligence (AI), particularly large language models (LLMs) such as chat generative pretrained transformer (ChatGPT), is revolutionizing various fields. Here, we present an AI-enhanced olfactory diagnosis platform that integrates a photor...

Machine Learning Analysis of Cytotoxicity Determinants in Nanoparticle-Based Rheumatoid Arthritis Therapies.

Molecular pharmaceutics
Nanoparticle-based therapies have gained attention in recent years as promising treatments for rheumatoid arthritis (RA), due to the potential offered for targeted delivery, controlled drug release, and improved biocompatibility. A deep understanding...

Using Artificial Intelligence for Scholarly Writing.

The American journal of nursing
The widespread availability of generative artificial intelligence (genAI) continues to transform the scholarly communication process. With wide access to genAI tools, authors now not only have the benefits these tools can provide, such as creation of...

Deep learning-powered multi-parametric ultrasound for classifying metastatic versus reactive axillary lymph nodes.

Breast cancer research : BCR
PURPOSE: To propose a multi-parametric ultrasound imaging-based deep learning method for accurately classifying metastatic and non-metastatic axillary lymph nodes in breast cancer patients.

Mentorship in African health and clinical research: addressing barriers and building research capacity.

Human resources for health
Mentorship plays a vital role in building research capacity, advancing evidence-based medicine, and fostering innovation in clinical practice, particularly in Africa, where Human Resources for Health (HRH) remain a persistent and complex challenge. H...

Development and validation of a machine learning-based model for predicting radiation-induced hypothyroidism in nasopharyngeal carcinoma.

Radiation oncology (London, England)
BACKGROUND AND PURPOSE: This study aims to develop a robust and user-friendly prediction model for radiation-induced hypothyroidism (RIHT) in nasopharyngeal carcinoma (NPC) patients.

Artificial intelligence-based approaches for advance care planning: a scoping review.

BMC palliative care
BACKGROUND: Advance Care Planning (ACP) empowers individuals to make informed decisions about their future healthcare. However, barriers including time constraints and a lack of clarity on professional responsibilities for ACP hinder its implementati...