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Dr. Abubakar’s exploration seeks to boost comprehension of tumor biology and its effect on therapy reaction and medical outcomes by adopting an ecosystem method that scientific studies each the tumor and TME as dynamically interconnected elements from the tumor-associated ecosystem. By leveraging AI, in conjunction with several laboratory staining strategies, He's carrying out deep phenotypic profiling of tumor tissues to uncover novel features which might be connected with epidemiological and scientific knowledge to inform prognosis and/or procedure determination-creating for screening-detectable cancers.
Improvement of reference current calculation plan for grid-aspect converter during unbalanced faults
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Enhanced recent controlled doubly fed induction generator model with grid integration less than sub and Tremendous synchronous situations
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He incorporates a eager yet helping Perspective in direction of other pros. I am quite confident that he will grow well in his industry. I would like him Better of luck all over his upcoming pursuits.”
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While using the rising uptake of population-dependent cancer screening packages around the globe, the incidences of benign and precursor lesions on tissue biopsies performed for suspected breast, colorectal, prostate, or lung cancers are most likely to carry on to increase, underscoring the need for normal history reports into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative investigation program in computational pathoepidemiology is focused on advancing scientific being familiar with into the position of tissue ecosystem disruption Muhammad Abubakar in the etiology, organic record, tumor heterogeneity, and clinical outcomes of screening-detectable cancers.
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SC currents minimization in dispersed generation embedded distribution networks with best application of FCLs
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