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Dr. Abubakar’s study seeks to further improve idea of tumor biology and its effect on remedy response and clinical results by adopting an ecosystem solution that experiments both of those the tumor and TME as dynamically interconnected factors on the tumor-connected ecosystem. By leveraging AI, together with a number of laboratory staining approaches, He's undertaking deep phenotypic profiling of tumor tissues to uncover novel characteristics which might be connected with epidemiological and clinical details to inform prognosis and/or therapy decision-building for screening-detectable cancers.
Development of reference latest calculation scheme for grid-aspect converter during unbalanced faults
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Improved current managed doubly fed induction mabubakarmaken generator product with grid integration less than sub and Tremendous synchronous problems
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He has a eager still assisting Mind-set towards other specialists. I am really confident that he will develop properly in his subject. I would like him Better of luck throughout his potential pursuits.”
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Using the increasing uptake of inhabitants-dependent cancer screening programs all over the world, the incidences of benign and precursor lesions on tissue biopsies performed for suspected breast, colorectal, prostate, or lung cancers are possible to carry on to rise, underscoring the necessity for normal background research into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative analysis program in computational pathoepidemiology is focused on advancing scientific understanding in the function of tissue ecosystem disruption during the etiology, pure historical past, tumor heterogeneity, and scientific results of screening-detectable cancers.
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SC currents minimization in dispersed technology embedded distribution networks with best software of FCLs
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