AIMC Topic: Humans

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Light-PTNet: A lightweight parallel temporal network for smartphone-based human motion classification.

PloS one
The increased popularity of smartphone-based human activity recognition (HAR) in recent decades has been driven by its low computational requirements and user privacy protection. Yet, developing a reliable smartphone-based HAR still presents several ...

Recent Advances in Diagnostic Strategies and Nanotechnology-Based Therapies for Ovarian Cancer Treatment.

ACS applied bio materials
Ovarian cancer is a global silent killer in women and is the second most common cause of gynecologic cancer-related deaths. Despite significant research and advances in treatment, ovarian cancer treatment remains a challenge, as it is diagnosed in an...

Linking dynamic connectivity states to cognitive decline and anatomical changes in Alzheimer's disease.

NeuroImage
Alterations in brain connectivity provide early indications of neurodegenerative diseases like Alzheimer's disease (AD). Here, we present a novel framework that integrates a Hidden Markov Model (HMM) within the architecture of a convolutional neural ...

DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.

Journal of chemical information and modeling
Cancer remains a major threat to human health. Tumor heterogeneity often leads to differences in tumor growth rate, invasion capacity, drug sensitivity, and prognosis, which complicates treatment strategies. Currently, drug responses are often verifi...

Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule Generation.

Journal of chemical information and modeling
In this work, we introduce auxiliary discriminator sequence generative adversarial networks (ADSeqGAN), a novel approach for molecular generation in small-sample data sets. Traditional generative models often struggle with limited training data, part...

Deep Raman Quantitative Profiling and Augmented Features for Biologically Interpretable GI Cancer Detection.

Analytical chemistry
Early diagnosis of gastrointestinal (GI) cancer is critical. Raman spectroscopy combined with deep learning offers a noninvasive molecular quantification approach. This study developed a synergistic framework integrating Raman spectroscopy and convol...

Predictors of Anemia Intolerance for Real-Time Transfusion Decision-Making During Resuscitation of Trauma Subjects: A Machine Learning Approach Using Heart Rate Variability.

Critical care explorations
OBJECTIVES: RBC transfusion in anemic patients with sustainable tolerance may cause harm, emphasizing the need for reliable metrics that quantify adequacy (oxygen delivery ≥ demand) and sustainability (oxygen delivery remains adequate without transfu...

De novo design of potent inhibitors of clostridial family toxins.

Proceedings of the National Academy of Sciences of the United States of America
remains a leading cause of hospital-acquired infections, with its primary virulence factor, toxin B (TcdB), responsible for severe colitis and recurrent disease. The closely related toxin, TcsL, from , causes a rarer but often fatal toxic shock synd...

GeneRAIN: multifaceted representation of genes via deep learning of gene expression networks.

Genome biology
We develop GeneRAIN, a suite of Transformer-based models that learn gene expression relationships from 410 K human bulk RNA-seq samples. Featuring a novel Binning-By-Gene normalization technique, our models capture diverse biological information beyo...

Artificial intelligence in the prescription of acute medical treatments in primary healthcare - comparison of the performance of family physicians and ChatGPT.

BMC primary care
INTRODUCTION: Artificial intelligence (AI) is increasingly being recognized as a transformative force in healthcare, showing significant promise in supporting healthcare professionals. AI has many applications in healthcare, including providing real-...