Publications by authors named "Amir Khan"

Purpose Of Review: This review examines the existing literature on metabolic pathways associated with bladder cancer (BC) and investigates four domains: (1) diagnoses, (2) cancer classification (staging & grading), (3) tracking, and (4) treatment.

Recent Findings: A systematic search of relevant databases identified studies meeting predefined inclusion criteria. A diverse array of metabolic pathways was found to hold significant biological and clinical relevance to BC, with particular emphasis on amino acid (AA), lipid, nucleic acid (NA), and bioenergetic pathways.

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We describe a broadband ferromagnetic resonance spectrometer for scientific and educational applications with a frequency range of up to 30 GHz. It is built with components available off-the-shelf, utilizes 3D printed parts for sample holders and support structures, and requires little assembly. A PCB design for the grounded coplanar waveguide (GCPW) is presented and analyzed.

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Transferrin protein-coated gold-aryl nanoparticles (TRF-AuNPs) and nanostars (TRF-AuNSs) were synthesized and characterized. The water-dispersible gold-aryl nanoparticles and nanostars covalently functionalized with a -CH-4-COOH organic shell were synthesized from an aryldiazonium gold(III) salt. TRF-AuNPs had an average size of 10.

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Highly elastic and 3D-printable degradable elastomers are advantageous for many biomedical applications. Herein, we report the synthesis of a biodegradable citrate rubber poly(tetrahydrofuran--citrate--hydroxyl telechelic natural rubber) (PTCR) using citric acid, poly(tetrahydrofuran), and hydroxyl telechelic natural rubber. The citrate rubber PTCR is methacrylated to synthesize a prepolymer methacrylated-PTCR (mPTCR) that can be used to fabricate bioresorbable scaffolds via 3D printing using micro-continuous liquid interface production.

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Increased intraocular pressure (IOP) during robot-assisted radical prostatectomy (RARP) is known to occur and may cause in rare cases anterior ischemic optic neuropathy. In this study, we evaluated the impact of abdominal insufflation pressures on IOP during RARP in a cohort of patients undergoing RARP. Patients undergoing RARP were recruited for this Institutional Review Board-approved study from January 2019 to October 2022 at our Center.

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Stem cell treatment shows promise in treating conditions such as neurodegenerative disorders and spinal injuries, but its effectiveness is hampered by cell death and apoptosis. Improving the differentiation of MSCs into neural cells could enhance their therapeutic potential. The role of miR-22-3p in human dental pulp stem cells (HDPSCs), a superior alternative to treat neurodegenerative disorders, and its molecular mechanisms during neural differentiation remain elusive.

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Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.

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Purpose: The estimated glomerular filtration rate (eGFR) has historically been calculated with a race-coefficient multiplier (RCM); however, the RCM has been broadly criticized as inaccurate and a potential contributor to exacerbating disparities. We evaluated the impact of the RCM on eGFR and examined the 30-day post-cystectomy complications in a muscle-invasive bladder cancer cohort.

Materials And Methods: We retrospectively analyzed patients diagnosed with MIBC who underwent cystectomy in the ACS NSQIP database from 2006 to 2020 using CPT and ICD codes.

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Effective software defect prediction is a crucial aspect of software quality assurance, enabling the identification of defective modules before the testing phase. This study aims to propose a comprehensive five-stage framework for software defect prediction, addressing the current challenges in the field. The first stage involves selecting a cleaned version of NASA's defect datasets, including CM1, JM1, MC2, MW1, PC1, PC3, and PC4, ensuring the data's integrity.

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Article Synopsis
  • - Deep eutectic solvents (DES) are eco-friendly, low-cost solvents distinguished by their biodegradability, non-volatility, and non-toxicity, attracting increasing research interest.
  • - A new ternary deep eutectic solvent (TDES) was developed using ethaline and glycine, with carboxylic acids added, and its properties were analyzed through techniques like FTIR and thermal stability assessments.
  • - The study found that adding carboxylic acids improved the physical properties of the DES, such as viscosity and density, while also reducing surface tension, indicating significant interactions and bonding within the solvent system.
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The invasion of non-native plant species presents a significant ecological challenge worldwide, impacting native ecosystems and biodiversity. These invasive plant species significantly affect the native ecosystem. The threat of invasive plant species having harmful effects on the natural ecosystem is a serious concern.

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Background: Prolonged exposure to hyperoxia can lead to hyperoxic acute lung injury (HALI) in preterm neonates. Vitamin D (VitD) stimulates lung maturation and acts as an anti-inflammatory agent. Our objective was to determine if VitD provides a dose-dependent protective effect against HALI by reducing inflammatory cytokine expression and improving alveolarization and lung function in neonatal mice.

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Tire wear particles (TWPs), generated from tire abrasion, contribute significantly to environmental contamination. The toxicity of TWPs to organisms has raised significant concerns, yet their effects on terrestrial plants remain unclear. Here, we investigated the long-term impact of pristine and naturally aged TWPs on water spinach () and its rhizospheric soil.

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Article Synopsis
  • Managing the subscapularis is crucial in shoulder arthroplasty, with various techniques for release and repair (tenotomy, peel, lesser tuberosity osteotomy) showing similar outcomes based on clinical studies, though biomechanical studies lean towards favoring lesser tuberosity osteotomy.
  • A subscapularis sparing approach offers early rehabilitation potential but requires more research to evaluate its long-term advantages.
  • If subscapularis repair fails after anatomical shoulder replacement, it can lead to issues like pain and instability, with potential treatment options including revision repairs, tendon transfer, and the switch to reverse shoulder arthroplasty, noting that the effects of repair vary based on the design of the implant used.
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Background: Patients with an active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [coronavirus disease 2019 (COVID-19)] infection are at a higher risk of post-operative mortality. In this retrospective case-control study, we analyzed the post-operative safety of patients undergoing cystoscopy with ureteral stent placement for obstructing ureteral calculi who tested positive for COVID-19.

Methods: We retrospectively identified patients who underwent cystoscopy and ureteral stent placement between June 5, 2020 and December 31, 2022 as an add-on case.

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Article Synopsis
  • - This study introduces a new model using nonlinear ordinary differential equations to analyze Hepatitis C Virus (HCV) dynamics across six groups: Susceptible, Treatment, Responder, Non-Responder, Cured, and Fibrosis.
  • - A comprehensive numerical analysis was performed over 20 years to evaluate the model's predictive accuracy, aiming to offer a non-invasive alternative for monitoring liver fibrosis progression.
  • - The model incorporates various parameters that help understand treatment effects on fibrosis progression and distinguishes the disease's natural course for non-responders, which could improve patient management and outcomes.
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  • The study examined how various herbicides (atrazine, glyphosate, and acetochlor) affect the growth and health of a specific algae species (MASCC-0035) over a 96-hour exposure period.
  • Results showed that higher concentrations of herbicides led to a significant decrease in cell numbers and chlorophyll content, with glyphosate being the most damaging.
  • Additionally, herbicide exposure disrupted the algae's antioxidant system and lipid metabolism, indicating stress responses that could have broader ecological impacts, highlighting the importance of continued research in this area.
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The integration of Internet of Things (IoT) and artificial intelligence (AI) technologies into modern agriculture has profound implications on data collection, management, and decision-making processes. However, ensuring the security of agricultural data has consistently posed a significant challenge. This study presents a novel evaluation metric titled Latency Aware Accuracy Index (LAAI) for the purpose of optimizing data security in the agricultural sector.

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Retinal pigment epithelial (RPE) cells are exclusive to the retina, critically multifunctional in maintaining the visual functions and health of photoreceptors and the retina. Despite their vital functions throughout lifetime, RPE cells lack regenerative capacity, rendering them vulnerable which can lead to degenerative retinal diseases. With advancements in stem cell technology enabling the differentiation of functional cells from pluripotent stem cells and leveraging the robust autocrine and paracrine functions of RPE cells, extracellular vesicles (EVs) secreted by RPE cells hold significant therapeutic potential in supplementing RPE cell activity.

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Introduction: Living kidney donor evaluation is a lengthy and complex process requiring in-person visits. Access to transplant centers, travel costs, lost wages, and dependent care arrangements are barriers to willing donors initiating evaluation. Telemedicine can help streamline and epedite the evaluation process.

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This study explores integrating blockchain technology into the Internet of Medical Things (IoMT) to address security and privacy challenges. Blockchain's transparency, confidentiality, and decentralization offer significant potential benefits in the healthcare domain. The research examines various blockchain components, layers, and protocols, highlighting their role in IoMT.

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