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Dr. Abubakar’s analysis seeks to improve idea of tumor biology and its effect on remedy response and scientific outcomes by adopting an ecosystem approach that experiments both equally the tumor and TME as dynamically interconnected elements of the tumor-involved ecosystem. By leveraging AI, along side a number of laboratory staining strategies, he is carrying out deep phenotypic profiling of tumor tissues to uncover novel options which can be linked with epidemiological and medical information to tell prognosis and/or therapy conclusion-producing for screening-detectable cancers.
Fault location in meshed electric power networks by using hybrid sparse latest and voltage measurements in addition to RSFCL
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Enhanced recent controlled doubly fed induction generator product with grid integration underneath sub and super synchronous circumstances
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“Muhammad Abubakar is a thorough Qualified who is extremely passionate about his operate. I've seldom viewed people who are much dedicated to their perform.
He incorporates a eager nonetheless assisting Frame of mind toward other professionals. I am fairly assured that he will increase very well in his industry. I would like him Better of luck throughout his long term pursuits.”
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While using the raising uptake of populace-based most cancers screening packages worldwide, 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 all-natural record scientific tests into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative investigate software in computational pathoepidemiology is focused on advancing scientific knowledge in to the job of tissue ecosystem disruption while in the etiology, natural heritage, tumor heterogeneity, and clinical outcomes of screening-detectable cancers.
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SC currents minimization in dispersed era embedded distribution networks with optimum application of FCLs
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