AIMC Topic: Machine Learning

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Machine learning-enhanced discovery of a basement membrane-related gene signature in glioblastoma via single-cell and Spatial transcriptomics.

Journal of translational medicine
BACKGROUND: The complex invasiveness and heterogeneity of glioblastoma multiforme (GBM) hinder the complete eradication of the tumor. The invasion of the basement membrane (BM) occurs before the spread to the meninges and the metastasis of glioma cel...

Earlier prediction of Parkinson's disease using cross non-decimated wavelet transform and machine learning algorithm.

Scientific reports
Parkinson's disease (PD) is a brain disorder, that affects a person's body movement causing stiffness, shaking and imbalance. Earlier detection of PD is a challenging task for researchers. In this paper, earlier detection of PD is performed using the...

A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device.

Scientific reports
Brain-computer interfaces (BCIs) hold significant promise for restoring communication in individuals with severe motor or speech impairments. Imagined handwriting, as a form of motor imagery, offers an intuitive paradigm for character-level neural de...

A novel approach of developing machine learning based models for the prediction of facial dimensions from dental parameters.

Scientific reports
Personal identification of an individual has always been a major concern in forensic science. Reconstruction of the facial profile is considered as one of the final stages in the process of identification. Nevertheless, recent advancements in artific...

Identification of IL1R1 as a potential key PANoptosis-related gene in myocardial ischemia-reperfusion injury using machine learning.

Scientific reports
Myocardial ischemia-reperfusion injury (MIRI) involves multifaceted pathogenic mechanisms, including inflammatory responses, immune dysregulation, and emerging forms of programmed cell death such as PANoptosis. However, the precise regulatory genes l...

Dataset of High-Resolution Aerial Images for Intertidal Macroalgae.

Scientific data
Macroalgae play a key role in the structure of benthic communities and provide essential ecological services; their responsiveness to stress positions them as indicators of ecosystem health. Traditional manual monitoring methods are resource-demandin...

Predicting proximal junctional failure in adult spinal deformity patients using machine learning models based on spinal alignment parameters.

Scientific reports
Proximal junctional failure (PJF) is a significant mechanical complication following corrective surgery for adult spinal deformity (ASD), often resulting in structural failure at the uppermost instrumented vertebra and necessitating revision surgery....

Constructing a sixteen lactate-related gene risk signature for LUAD to predict the prognosis and TME by machine learning.

Scientific reports
Although it is the most common subtype of lung cancer in clinical practice, lung adenocarcinoma (LUAD) was proven to be associated with a poor prognosis. In recent years, lactate metabolism has been considered an important biological mechanism in lun...

AI-driven clinical decision support for early diagnosis and treatment planning in patients with suspected sleep apnea using clinical and demographic data before sleep studies.

NPJ primary care respiratory medicine
OBJECTIVE: This study explored the application of Machine Learning (ML) techniques to cluster patients with suspected sleep apnea (SA), based on clinical-demographic data, with the aim of optimizing diagnostic pathways and enabling more personalized ...

Machine learning identifies inflammation-related diagnostic biomarkers for primary myelofibrosis with clinical validation.

Scientific reports
Primary myelofibrosis (PMF) is a heterogeneous bone marrow disorder, and substantial evidence indicates the involvement of inflammatory mediators in its progression. However, a diagnostic model based on inflammation-related genes has not yet been est...