A5079392897- Heavy metals in environment
- Arsenic contamination and mitigation
- Heavy Metal Exposure and Toxicity
- Aluminum toxicity and tolerance in plants and animals
- Mercury impact and mitigation studies
- Fluoride Effects and Removal
- Hemophilia Treatment and Research
- SARS-CoV-2 and COVID-19 Research
- Chromium effects and bioremediation
- Groundwater and Isotope Geochemistry
- Dental Radiography and Imaging
- Blood Coagulation and Thrombosis Mechanisms
- Plant Stress Responses and Tolerance
- Dental Research and COVID-19
- Venous Thromboembolism Diagnosis and Management
- Dental Implant Techniques and Outcomes
- Thallium and Germanium Studies
- Plant Physiology and Cultivation Studies
- Healthcare Policy and Management
- Analytical chemistry methods development
- Topic Modeling
- Leaf Properties and Growth Measurement
- Dental Health and Care Utilization
- Selenium in Biological Systems
- SARS-CoV-2 detection and testing
Chongqing University
2023-2024
UCB Pharma (United Kingdom)
2024
Government College University, Lahore
2024
UCB Pharma (Belgium)
2023
Mayo Hospital
2023
Institute of Geochemistry
2018-2023
Chinese Academy of Sciences
2018-2023
State Key Laboratory of Environmental Geochemistry
2023
Farooq Hospital
2023
University of Malakand
2022-2023
• Arsenic contamination has a negative impact on crop cultivation and human health. As yet, no proteins have been identified in plants that mediate the extrusion of arsenic. Here, we heterologously expressed yeast (Saccharomyces cerevisiae) arsenite efflux transporter ACR3 into Arabidopsis to evaluate how this affects plant tolerance tissue arsenic contents. was cloned from transformed wild-type nip7;1 Arabidopsis. determined at cellular level using vitality stains protoplasts, intact...
Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence heterogeneous clinical presentations. Unstructured notes contain valuable information for identifying rare diseases, but manual curation is time-consuming prone subjectivity. This study aims develop a hybrid approach combining dictionary-based natural language processing (NLP) tools with large models (LLMs) improve disease identification from unstructured reports.
Owing to the stern importance of nutritional intakes for growth and shaping life long events , we aim elucidate status schoolchildren according as definitions International Obesity Task Force (IOTF) Centres Disease Control Prevention (CDC) in 6 12 year-old from rural districts Khyber Pakhtunkhwa (KPK) province Pakistan. Anthropometric data was collected 3595 (1811 boys 1784 girls) a random cluster sampling study. Underweight, overweight obesity determined body mass index (BMI) associated...
Walnut Oil and Caralluma are edible form part of the traditional medicine system in many countries. These frequently used as remedies to relieve a wide range illnesses health problems. species have demonstrated anti-inflammatory, anti-nociceptive, antidiabetics, hepatoprotective, gastric mucosa protecting, antimalarial, antioxidant, anti-trypanosomal, appetite suppressant cytotoxic activities. The current study was planned impacts 21 days' oral administration walnut oil methanolic extract...
The evaluation and management of first-time seizure-like events in children can be difficult because these episodes are not always directly observed might epileptic seizures or other conditions (seizure mimics). We aimed to evaluate whether machine learning models using real-world data could predict seizure recurrence after an initial event. This retrospective cohort study compared trained evaluated on two separate datasets between Jan 1, 2010, 2020: electronic medical records (EMRs) at...