AIMC Topic: Humans

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Causal predictive modeling of survival of lung and bronchus cancer patients diagnosed during 2010-2011 in Texas.

PloS one
BACKGROUND: Lung and Bronchus cancer is the most fatal type of cancer in the United States. According to the American Cancer Society, there were more than 127,000 deaths from lung cancer in 2023. Lung cancer care cost 23.8 billion dollars in 2020. In...

Serum-MiR-CanPred: deep learning framework for pan-cancer classification and miRNA-targeted drug discovery.

RNA biology
Cancer diagnosis at an early stage is crucial for improving overall health outcomes. However, existing cancer diagnostic techniques are mostly invasive and tend to identify the disease only in its advanced stages. MicroRNAs (miRNAs), which are small ...

EEG-SGENet: A lightweight convolutional network integrating SGE for motor imagery brain-computer interfaces.

Neuroscience
In recent years, there has been a significant increase in research activity on electroencephalography (EEG)-based motor imagery brain-computer interfaces (MI-BCI) in the field of deep learning. However, despite achieving high accuracy, the size of mo...

Artificial Intelligence for Noninvasive Health Diagnostics.

ACS sensors
Noninvasive diagnostic approaches are essential for early detection, patient compliance, and reduction of healthcare burden, yet they often face limitations in sensitivity, specificity, and timely interpretation. Artificial intelligence (AI) and mach...

iCAM-Net: Interpretable herb-disease association prediction via cross-channel attention and molecular interaction signals.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Target identification is fundamental to drug discovery, facilitating mechanistic elucidation and therapeutic target identification. Traditional herbal medicines exert therapeutic effects through multi-component, multi-target synergistic m...

Breaking down the ear-brain dichotomy: the effects of age-related hearing loss on the cortical language system.

NeuroImage
Older individuals frequently experience hearing difficulties, often due to sensorineural hearing loss (HL) primarily originating in the inner ear. However, it is not uncommon for older adults with HL to also exhibit impairments in speech intelligibil...

Natural language processing of gene descriptions for overrepresentation analysis with GeneTEA.

Genome biology
Overrepresentation analysis is used to identify biological enrichment in a list of genes. Here, we introduce GeneTEA, a model that ingests free-text gene descriptions and incorporates natural language processing methods to learn a sparse gene-by-term...

Artificial intelligence-based tools for precision diagnosis and treatment of neurofibromatosis type 1 associated peripheral and central glial tumors.

Orphanet journal of rare diseases
Modern Artificial Intelligence (AI) has demonstrated its effectiveness by achieving human-level performance in various complex tasks, including the biomedical field. Cancer research, adapting to a fast-changing world, is leveraging AI as a promising ...

Artificial intelligence in cancer: applications, challenges, and future perspectives.

Molecular cancer
Artificial intelligence (AI) is rapidly revolutionizing the landscape of oncological research and the advancement of personalized clinical interventions. Progress in three interconnected areas, including the development of methods and algorithms for ...