This conceptual workflow provides a stepwise translational roadmap from multi-omics discovery to clinical implementation, and is important to note that many of these applications remain at an early stage, with most evidence derived from small cohorts, preclinical models, or retrospective analyses, and prospective clini...
Sowhanur Rahman Nirob, Priyanshu Das, Md. Owafeeuzzaman Patwary et al.· Frontiers in Oncology· 0 citations
An automatic diagnostic process based on deep learning was proposed using multiscale contrast enhancement along with lightweight convolutional features and classifiers for diagnosing four classes of brain tumors and revealed that the network concentrated on clinically sensible regions of the tumors rather than other ir...
Krithika Pandurangan, D. C. Gowri, Jonnla Naga Surekha et al.· Frontiers in Human Neuroscie...· 0 citations
Breast cancer drug resistance remains a major clinical challenge driven by complex genetic, signaling, and microenvironmental interactions. Conventional machine learning and deep learning represent genes, drugs, and patients as independent feature vectors, limiting their ability to capture biological relationships gove...
Priyanshu Das, Md. Jarifur Rahman, Sowhanur Rahman Nirob et al.· Frontiers in Oncology· 0 citations
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