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Dr. Abubakar’s research seeks to further improve comprehension of tumor biology and its effect on therapy reaction and medical outcomes by adopting an ecosystem solution that scientific tests equally the tumor and TME as dynamically interconnected elements of the tumor-involved ecosystem. By leveraging AI, along side numerous laboratory staining approaches, He's executing deep phenotypic profiling of tumor tissues to uncover novel features that could be linked with epidemiological and scientific info to tell prognosis and/or treatment method selection-earning for screening-detectable cancers.
Fault spot in meshed energy networks by making use of hybrid sparse existing and voltage measurements along with RSFCL
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Enhanced current managed doubly fed induction generator design with grid integration below sub and super synchronous disorders
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“Muhammad Abubakar is an intensive Expert who may be very obsessed with his function. I've seldom viewed people who are a lot of committed to their get the job done.
He has a keen nevertheless aiding Angle towards other specialists. I'm very confident that he will develop properly in his subject. I would like him Better of luck throughout his long term pursuits.”
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Together with the escalating uptake of population-based most cancers screening plans worldwide, the incidences of benign and precursor lesions on tissue biopsies carried out for suspected breast, colorectal, prostate, or lung cancers are likely to carry on to rise, underscoring the necessity for normal record reports into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative investigation program in computational pathoepidemiology is focused on advancing scientific being familiar with to the job of tissue ecosystem disruption inside the etiology, purely natural background, mabubakermaken tumor heterogeneity, and medical results of screening-detectable cancers.
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SC currents minimization in distributed generation embedded distribution networks with best application of FCLs
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