AIMC Topic: Artificial Intelligence

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ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy.

Journal of speech, language, and hearing research : JSLHR
PURPOSE: Development of aphasia therapies is limited by clinician shortages, patient recruitment challenges, and funding constraints. To address these barriers, we introduce (ABCD), a novel method for simulating goal-driven natural spoken dialogues ...

Analytical Data Review on an Artificial Intelligence Platform for Doping Control in Horse Racing.

Analytical chemistry
In the screening of prohibited substances (PS) in horse biological samples with gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS) for doping control, an enormous number of chromatograms are generated. Re...

AIoptamer: Artificial Intelligence-Driven Aptamer Optimization Pipeline for Targeted Therapeutics in Healthcare.

Molecular pharmaceutics
Aptamers are short, single-stranded DNA or RNA molecules known for their high specificity and affinity toward target biomolecules, making them powerful tools in drug discovery, diagnostics, and biosensing. However, conventional aptamer selection meth...

LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery.

Nucleic acids research
LitSense 2.0 (https://www.ncbi.nlm.nih.gov/research/litsense2/) is an advanced biomedical search system enhanced with dense vector semantic retrieval, designed for accessing literature on sentence and paragraph levels. It provides unified access to 3...

FoldScript: a web server for the efficient analysis of AI-generated 3D protein models.

Nucleic acids research
Artificial intelligence (AI)-based 3D protein modelling software have revolutionized structural biology, often predicting protein structures with unprecedented confidence. However, to get the most out of AI, it is advisable to consider the informatio...

Artificial intelligence models using F-wave responses predict amyotrophic lateral sclerosis.

Brain : a journal of neurology
Nerve conduction F-wave studies contain crucial information about subclinical motor dysfunction that can be used to diagnose patients with amyotrophic lateral sclerosis (ALS). However, F-wave responses are highly variable in morphology, making wavefo...

AI in action: Changes to student perceptions when using generative artificial intelligence for the creation of a multimedia project-based assessment.

European journal of pharmacology
INTRODUCTION: New modes of assessments are needed to evaluate of the authenticity of student learning in an artificial intelligence (AI) world. In mid-2023, we piloted a new assessment type; a collaborative group multimedia assessment with AI allowan...

Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality.

Cancer research
The integration of artificial intelligence (AI) in cancer research has significantly advanced radiology, pathology, and multimodal approaches, offering unprecedented capabilities in image analysis, diagnosis, and treatment planning. AI techniques pro...

Artificial Intelligence Can Predict Personalized Immunotherapy Outcomes in Cancer.

Cancer immunology research
The rapid advancement of artificial intelligence (AI) technologies has opened new avenues for advancing personalized immunotherapy in cancer treatment. This review highlights current research progress in applying AI to optimize the use of immunothera...

Illuminating the Noncoding Genome in Cancer Using Artificial Intelligence.

Cancer research
Understanding the vast noncoding cancer genome requires cutting-edge, high-resolution, and accessible strategies. Artificial intelligence is revolutionizing cancer research, enabling advanced models to analyze genome regulation. This review examines ...