AIMC Topic: Machine Learning

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Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.

Science advances
Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-cancer peptide atlas by comprehensively collecting immunopeptidomics from 531 samples across 14 cancer and 29 normal tissues, and identify 389,165 cano...

A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogens (Basel, Switzerland)
Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identific...

Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Medicina (Kaunas, Lithuania)
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experience. The use of artificial intelligence to identify morphological patterns in erythrocytes would imp...

Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

BMC infectious diseases
OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with severe or critical COVID-19 by analyzing clinical characteristics and laboratory indicators.

Metabolic signature of COVID-19 progression: potential prognostic markers for severity and outcome.

Metabolomics : Official journal of the Metabolomic Society
INTRODUCTION: There are significant challenges remain in accurately categorizing the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients.

Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate.

Scientific reports
Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurately estimating RR for cardiorespiratory fitness is essential. However, machine learning algorithm-related errors are unsuitable for medical decision-m...

Cultural differences in the beauty premium.

Scientific reports
A large body of research suggests that better-looking people are associated with various positive outcomes, an effect labeled the beauty premium. However, the vast majority of this evidence has been demonstrated in WEIRD (Western, Educated, Industria...

SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection.

Scientific data
Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main deficiencies...

Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements.

Nature communications
The RAS/ERK pathway plays a central role in diagnosis and therapy for many cancers. ERK activity is highly dynamic within individual cells and drives cell proliferation, metabolism, and other processes through effector proteins including c-Myc, c-Fos...

A new method for drinking water quality risk assessment based on data-driven.

Environmental geochemistry and health
Risk assessment of water quality plays a crucial role in sustainable management of water resource. However, evaluating drinking water quality risk for different types of water within the same framework is a challenging task. The Water Quality Index (...