AIMC Topic: Animals

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MLDAAPP: machine learning data acquisition for assessing population phenotypes.

G3 (Bethesda, Md.)
Collecting phenotypic data from many individuals is critical to answering fundamental biological questions, particularly in genetics. Yet, whole organismal phenotypic data are still often collected manually; limiting the scale of data generation, pre...

AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.

Cancer discovery
UNLABELLED: Identifying functionally important cell states and structure within heterogeneous tumors remains a significant biological and computational challenge. Current clustering- or trajectory-based models are ill-equipped to address the notion t...

Deep learning-based cell type profiles reveal signatures of Alzheimer's disease resilience and resistance.

Brain : a journal of neurology
Neurological disorders result from the complex and poorly understood contributions of many cell types. It is therefore essential to uncover mechanisms behind these disorders and identify specific therapeutic targets. Single-nucleus technologies have ...

Machine learning-driven discovery of antimicrobial peptides targeting the GAPDH-TPI protein-protein interaction in Schistosoma mansoni for novel antischistosomal therapeutics.

Computational biology and chemistry
Schistosomiasis, caused by Schistosoma mansoni, remains a significant public health burden, particularly in endemic regions with limited access to effective treatment. The emergence of resistance to praziquantel necessitates the urgent discovery of n...

Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.

Biomaterials
Osteoinduction is an important feature of the next generation of bone repair materials. But the key structural factors and parameters of osteoinductive scaffolds are not yet clarified. This study leverages the efficiency of high-throughput screening ...

Machine learning-driven programmed cell death signature for prognosis and drug candidate discovery in diffuse large B-cell lymphoma: Multi-cohort study and experimental validation.

International immunopharmacology
BACKGROUND: Relapse and drug resistance are major contributor to chemotherapy failure in diffuse large B-cell lymphoma (DLBCL). Programmed cell death (PCD), a key mechanism in tumor progression and resistance, has emerged as a promising biomarker for...

MIA and CD163 as promising diagnostic biomarkers in vascular dementia: A multi-method study combining WGCNA, machine learning with validation in animal models and clinical samples.

International immunopharmacology
Vascular dementia (VaD), the second most common form of dementia, lacks reliable biomarkers for early diagnosis. Here, we integrated weighted gene co-expression network analysis (WGCNA) with machine learning to identify novel biomarkers and immune-me...

Enhanced detection of Argulus and epizootic ulcerative syndrome in fish aquaculture through an improved deep learning model.

Journal of aquatic animal health
OBJECTIVE: Fish disease in aquaculture is a major risk to food safety. The identification of infected fish and disease categories present in fish farms remains difficult to determine at an early stage. Detecting infected fish in time is an essential ...

Beauty versus the beast: The UK public prefers less-extreme body shapes in brachycephalic dog breeds.

The Veterinary record
BACKGROUND: Brachycephalic dog breeds often exhibit a suite of extreme conformations linked with several severe and long-term disorders. Despite this, ownership levels of brachycephalic breeds remain high internationally, with physical appearance bei...

Assessment of Myocardial Injury Size Metrics Using Carotid Pressure Waveform: Proof-of-Concept in Coronary Occlusion/Reperfusion Rat Model.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Myocardial infarction (MI) is a leading cause of death worldwide and the most common precursor to heart failure, even after initial treatment. Precise evaluation of myocardial injury is crucial for assessing interventions and improving outcomes. Exte...