Considerations To Know About Muhammad Abubakar

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Dr. Abubakar’s study seeks to further improve comprehension of tumor biology and its impact on therapy response and scientific outcomes by adopting an ecosystem method that research both the tumor and TME as dynamically interconnected factors with the tumor-connected ecosystem. By leveraging AI, together with several laboratory staining techniques, he is accomplishing deep phenotypic profiling of tumor tissues to uncover novel capabilities which can be linked with epidemiological and medical information to tell prognosis and/or remedy decision-generating for screening-detectable cancers.

Fault area in meshed power networks through the use of hybrid sparse present and voltage measurements coupled with RSFCL

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Enhanced latest controlled doubly fed induction generator model with grid integration under sub and Tremendous synchronous ailments

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He incorporates a eager yet aiding Mind-set towards other pros. I'm fairly assured that he will improve perfectly in his field. I wish him best of luck during his long run pursuits.”

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With all the growing uptake of population-dependent cancer screening applications 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 continue to rise, underscoring the necessity for all-natural record scientific tests into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative investigate method in computational pathoepidemiology is focused on advancing scientific being familiar with in to the role of tissue ecosystem disruption while in the etiology, all-natural record, tumor heterogeneity, and medical results of screening-detectable cancers.

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SC currents minimization in distributed generation embedded distribution networks with exceptional software of FCLs

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