Abubakar - An Overview

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Dr. Abubakar’s research seeks to further improve idea of tumor biology and its impact on treatment response and scientific results by adopting an ecosystem strategy that scientific studies the two the tumor and TME as dynamically interconnected elements from the tumor-associated ecosystem. By leveraging AI, at the side of several laboratory staining techniques, he is performing deep phenotypic profiling of tumor tissues to uncover novel options that could be connected with epidemiological and clinical details to tell prognosis and/or cure final decision-earning for screening-detectable cancers.

Fault locale in meshed electricity networks by utilizing hybrid sparse current and voltage measurements in conjunction with RSFCL

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Farah holds masters in scientific psychology. With a coaching as being a clinical psychologist, Farah possesses a deep understanding of the intricacies of the human behavior. Farah’s enthusiasm for that psychology, coupled along with her diligent exploration capabilities, allows her to stay up-to-date with the latest scientific tendencies.

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He has a keen still helping Perspective towards other specialists. I'm pretty assured that He'll mature nicely in his discipline. I desire him Better of luck all through his long run pursuits.”

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With the increasing uptake of inhabitants-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 normal historical past scientific studies into screening-detectable cancers. Appropriately, Dr. Abubakar Abubakar’s integrative exploration system in computational pathoepidemiology is centered on advancing scientific comprehension into the purpose of tissue ecosystem disruption while in the etiology, purely natural record, tumor heterogeneity, and medical outcomes of screening-detectable cancers.

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SC currents minimization in dispersed generation embedded distribution networks with optimum application of FCLs

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