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Muhammad Yousuf

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Articles

ICC/WHO-Defined and NGS-Annotated Idiopathic Hypereosinophilia (iHES/iHE): Mutations, Clinical and Treatment Details, and Predictors of Survival

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By Muhammad Yousuf, Rania M. Abdelaziz, Priyansh Faldu
| Wiley Online Library Verified
To the Editors, Idiopathic hypereosinophilic syndrome (iHES) is defined by persistent peripheral blood (PB) hypereosinophilia (HE) (absolute eosinophil count [AEC] ≥ 1.5 × 109/L and ≥ 10% circulating eosinophils) with eosinophil-mediated overt organ damage. Idiopathic hypereosinophilia (iHE), on the other hand, is characterized by persistent HE in the absence of overt tissue involvement.
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CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic leukemia

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By Saubia Fathima, Lior Rokach, Muhammad Yousuf, Priyansh Faldu, Ali Alsugair, Clifford M. Csizmar, Merry Nakhleh, Abhishek A. Mangaonkar, Animesh Pardanani, Luca Lanino, Alessia Campagna, Giulia Maggioni, Noushin Farnoud, Raajit Rampal, Kaaren K. Reichard, Rong Lucy He, Naseema Gangat Verified, Mrinal Patnaik, Matteo Della Porta, Ayalew Tefferi
| Nature Verified
Abstract Contemporary risk models in chronic myelomonocytic leukemia (CMML) focus on the prognostic relevance of individual rather than concurrent mutations. In the current study of 605 Mayo Clinic patients with CMML, we applied machine-learning algorithms in order to examine the influence of cooperative mutational interactions on blast transformation (BT).
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Will healthcare workers incorporate artificial intelligence in their practices?

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By Iffat Khanum, Huzefa Jibril, Muhammad Yousuf, Ibtesam Ishrat
| jpma.org.pk
Abstract Artificial intelligence can potentially ensure high-quality health care delivery in many ways. An observational study was conducted at a tertiary care university hospital to assess the perception of preparedness and professional impact of artificial intelligence among medical and nursing students and healthcare professionals. The “Shinners Artificial Intelligence Perception tool” was used. Responses from 345 respondents were included.
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