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Dr. Abubakar’s analysis seeks to improve idea of tumor biology and its influence on treatment method response and scientific outcomes by adopting an ecosystem method that studies both equally the tumor and TME as dynamically interconnected elements from 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 decision-building for screening-detectable cancers.
Growth of reference present calculation plan for grid-facet converter for the duration of unbalanced faults
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This "Cited by" rely incorporates citations to the subsequent content articles in Scholar. Those marked * may very well be different through the posting in the profile.
Enhanced recent managed doubly fed induction generator design with grid integration beneath sub and super synchronous conditions
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He includes a eager nonetheless assisting Perspective toward other gurus. I'm pretty confident that he will expand properly in his subject. I would like him Better of luck all over his future pursuits.”
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Using the growing uptake of inhabitants-dependent cancer screening courses around Abubakar the globe, the incidences of benign and precursor lesions on tissue biopsies performed for suspected breast, colorectal, prostate, or lung cancers are possible to continue to increase, underscoring the need for natural heritage scientific studies into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative investigation plan in computational pathoepidemiology is centered on advancing scientific knowing into your position of tissue ecosystem disruption in the etiology, pure background, tumor heterogeneity, and scientific outcomes of screening-detectable cancers.
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SC currents minimization in dispersed generation embedded distribution networks with ideal application of FCLs
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