首页|Al Akhawayn University Reports Findings in Artificial Intelligence (A comprehens ive survey on the use of deep learning techniques in glioblastoma)
Al Akhawayn University Reports Findings in Artificial Intelligence (A comprehens ive survey on the use of deep learning techniques in glioblastoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Ifrane, Morocco , by NewsRx editors, research stated, "Glioblastoma, characterized as a grade 4 astrocytoma, stands out as the most aggressive brain tumor, often leading to dir e outcomes. The challenge of treating glioblastoma is exacerbated by the converg ence of genetic mutations and disruptions in gene expression, driven by alterati ons in epigenetic mechanisms." Our news journalists obtained a quote from the research from Al Akhawayn Univers ity, "The integration of artificial intelligence, inclusive of machine learning algorithms, has emerged as an indispensable asset in medical analyses. AI is bec oming a necessary tool in medicine and beyond. Current research on Glioblastoma predominantly revolves around non-omics data modalities, prominently including m agnetic resonance imaging, computed tomography, and positron emission tomography . Nonetheless, the assimilation of omic data-encompassing gene expression throug h transcriptomics and epigenomics-offers pivotal insights into patients' conditi ons. These insights, reciprocally, hold significant value in refining diagnoses, guiding decision- making processes, and devising efficacious treatment strategi es. This survey's core objective encompasses a comprehensive exploration of note worthy applications of machine learning methodologies in the domain of glioblast oma, alongside closely associated research pursuits. The study accentuates the d eployment of artificial intelligence techniques for both non-omics and omics dat a, encompassing a range of tasks."
IfraneMoroccoAfricaArtificial Inte lligenceCancerCyborgsEmerging TechnologiesGlioblastomasHealth and Medi cineMachine LearningOncology
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