Publications by authors named "M Ashraf Aziz"

Protein loops and structural domains are building blocks of molecular structure. They hold evolutionary memory and are largely responsible for the many functions and processes that drive the living world. Here, we briefly review two decades of phylogenomic data-driven research focusing on the emergence and evolution of these elemental architects of protein structure.

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Introduction: Urinary tract infections are prevalent among pregnant women and can lead to serious maternal and neonatal complications. Hypertensive disorders of pregnancy, a leading cause of maternal morbidity, may be associated with urinary tract infections. This study investigates whether bacteriuria detected via routine urinalysis, a standard screening in Indonesia, contributes to hypertension risk during pregnancy, aiming to enhance clinical management and screening protocols.

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Objective: To evaluate the cost-effectiveness of trastuzumab emtansine (T-DM1) compared to both lapatinib plus capecitabine (lapcap) and trastuzumab plus capecitabine (trascap) for treating human epidermal growth factor 2-positive advanced breast cancer patients, who have received prior treatment with trastuzumab and a taxane, in Singapore.

Research Design And Methods: A three-state partitioned survival model was used to evaluate the cost-effectiveness from the local healthcare system perspective. Key effectiveness data, including progression-free survival and overall survival from the pivotal EMILIA trial, were used alongside local clinician inputs.

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Wool is the most widely used proteinic natural fiber in the clothing industry by virtue of its versatile properties. Unfortunately, wool, as a natural fiber, is more susceptible to attack by microorganisms and moths, which may cause harm to the fiber and human health. That is why the antimicrobial and mothproof finishing of natural textiles is of prime importance to the textile and clothing industry.

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Precise and rapid disease detection is critical for controlling infectious diseases like COVID-19. Current technologies struggle to simultaneously identify viral RNAs and host immune antibodies due to limited integration of sample preparation and detection. Here, we present acoustofluidic integrated molecular diagnostics (AIMDx) on a chip, a platform enabling high-speed, sensitive detection of viral immunoglobulins [immunoglobulin A (IgA), IgG, and IgM] and nucleic acids.

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