M
Muhammad Tahir Khan
Researcher at University of the Punjab
Publications - 193
Citations - 2636
Muhammad Tahir Khan is an academic researcher from University of the Punjab. The author has contributed to research in topics: Fault detection and isolation & Cancer. The author has an hindex of 15, co-authored 171 publications receiving 1807 citations. Previous affiliations of Muhammad Tahir Khan include University of Veterinary and Animal Sciences & Imperial College Healthcare.
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Normalized Left Ventricular Systolic and Diastolic Function by Steady State Free Precession Cardiovascular Magnetic Resonance
TL;DR: State of the art CMR was used to define ranges for normal left ventricular volumes and systolic/diastolic function normalized to the influence of gender, body surface area and age.
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Abnormal myocardial insulin signalling in type 2 diabetes and left-ventricular dysfunction.
Stuart A. Cook,Anabel Varela-Carver,Marco Mongillo,Christina Kleinert,Muhammad Tahir Khan,Lucia Leccisotti,Nicola H. Strickland,Takashi Matsui,Saumya Das,Anthony Rosenzweig,Prakash P Punjabi,Paolo G. Camici,Paolo G. Camici +12 more
TL;DR: The data show that the mechanisms of myocardial insulin resistance are different between NIDDM and LVD, and an unrecognized reduction of IRS1 in skeletal muscle of LVD patients and an unexpected increase in cardiac IRS1-PI3K activity are demonstrated.
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Anti-hyperglycaemic effect of an extract of Myrtus communis in streptozotocin-induced diabetes in mice
TL;DR: The "folk-medicine" indication of Myrtus extract as potentially useful in the treatment of diabetes mellitus is confirmed as it significantly reduced the hyperglycaemia after streptozotocin.
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Biochemical mechanisms of signaling: perspectives in plants under arsenic stress.
TL;DR: The knowledge about several pathways that can be exploited to develop plant cultivars which are resistant to arsenic stress or can reduce its uptake are provided to minimize the risk of arsenic toxicity through food chain thus ensuring food security.
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A review on fault detection and diagnosis techniques: basics and beyond
TL;DR: Fault Detection and Diagnosis (FDD) is a well-studied area of research as discussed by the authors, where malfunction monitoring capabilities are instilled in the system for detection of the incipient faults and anticipation of their impact on the future behavior of the system using fault diagnosis techniques.