AIMC Topic: Genomics
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Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.
Medical physics
Jan 29, 2025
BACKGROUND: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major ...
Pathogen genomic surveillance and the AI revolution.
Journal of virology
Jan 29, 2025
The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveillance to become a powerful tool for monitoring the evolution of circulating viruses. Herein, we discuss how a state-of-the-art artificial intelligence ...
A multi-modal transformer for cell type-agnostic regulatory predictions.
Cell genomics
Jan 29, 2025
Sequence-based deep learning models have emerged as powerful tools for deciphering the cis-regulatory grammar of the human genome but cannot generalize to unobserved cellular contexts. Here, we present EpiBERT, a multi-modal transformer that learns g...
Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
BMC infectious diseases
Jan 28, 2025
BACKGROUND: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus ...
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma.
Journal of translational medicine
Jan 27, 2025
BACKGROUND: Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient prognosis. The survival rate remains low despite standard therapies, highlighting the urgent need for novel treatment strategies. Advanced imaging techni...
Application of machine learning and genomics for orphan crop improvement.
Nature communications
Jan 24, 2025
Orphan crops are important sources of nutrition in developing regions and many are tolerant to biotic and abiotic stressors; however, modern crop improvement technologies have not been widely applied to orphan crops due to the lack of resources avail...
Genomic and algorithm-based predictive risk assessment models for benzene exposure.
Frontiers in public health
Jan 21, 2025
AIM: In this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.
A practical guide to FAIR data management in the age of multi-OMICS and AI.
Frontiers in immunology
Jan 20, 2025
Multi-cellular biological systems, including the immune system, are highly complex, dynamic, and adaptable. Systems biologists aim to understand such complexity at a quantitative level. However, these ambitious efforts are often limited by access to ...
An in-depth review of AI-powered advancements in cancer drug discovery.
Biochimica et biophysica acta. Molecular basis of disease
Jan 19, 2025
The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep ...
Digital Health and Genomics.
The Nursing clinics of North America
Jan 18, 2025
Digital health technologies have a crucial role in streamlining the use of genomics and facilitating access to genomic health care. There are efforts to integrate genomic information into electronic health records and use artificial intelligence to a...
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