AIMC Topic: Genomics
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Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.
Scientific reports
Jul 1, 2025
In the field of cancer therapy, the diversity and heterogeneity of cancer genomes in clinical patients complicate and challenge the effective use of non-targeted drugs, as these drugs often fail to address specific genetic events. Recent advancements...
Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.
Genome research
Jul 1, 2025
Recent advances in spatially resolved single-omic and multi-omics technologies have led to the emergence of computational tools to detect and predict spatial domains. Additionally, histological images and immunofluorescence (IF) staining of proteins ...
Integrating multi-omics and machine learning for disease resistance prediction in legumes.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Jun 27, 2025
Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the potential to accelerate the breeding of resistant legume varieties. Grain legumes, such as soybean (Glycine max (L.) Merr.), chickpea (Cicer arietinum L.)...
3Mont: A multi-omics integrative tool for breast cancer subtype stratification.
PloS one
Jun 27, 2025
Breast Cancer (BRCA) is a heterogeneous disease, and it is one of the most prevalent cancer types among women. Developing effective treatment strategies that address diverse types of BRCA is crucial. Notably, among different BRCA molecular sub-types,...
Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.
Functional & integrative genomics
Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.
Heredity
Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
A radiogenomics study on F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm.
BMC cancer
Jun 5, 2025
OBJECTIVE: To create an automated PET/CT segmentation method and radiomics model to forecast Mismatch repair (MMR) and TP53 gene expression in endometrial cancer patients, and to examine the effect of gene expression variability on image texture feat...
Current AI technologies in cancer diagnostics and treatment.
Molecular cancer
Jun 2, 2025
Cancer continues to be a significant international health issue, which demands the invention of new methods for early detection, precise diagnoses, and personalized treatments. Artificial intelligence (AI) has rapidly become a groundbreaking componen...
Artificial Intelligence-Assisted Breeding for Plant Disease Resistance.
International journal of molecular sciences
Jun 1, 2025
Harnessing state-of-the-art technologies to improve disease resistance is a critical objective in modern plant breeding. Artificial intelligence (AI), particularly deep learning and big model (large language model and large multi-modal model), has em...
Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.
Current urology reports
May 26, 2025
PURPOSE OF REVIEW: Renal cell carcinoma (RCC) is a prevalent and increasingly diagnosed malignancy associated with high mortality and recurrence rates. Traditional diagnostic and therapeutic approaches have limitations due to the disease's molecular ...
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