A5100712636- Advances in Cucurbitaceae Research
- Natural Antidiabetic Agents Studies
- Artificial Intelligence in Healthcare
- ECG Monitoring and Analysis
- SARS-CoV-2 and COVID-19 Research
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Trypanosoma species research and implications
- ICT in Developing Communities
- Smart Agriculture and AI
- Innovation in Digital Healthcare Systems
- Research on Leishmaniasis Studies
- Brain Tumor Detection and Classification
- Sugarcane Cultivation and Processing
- Seed and Plant Biochemistry
- Synthesis and biological activity
- Technology and Data Analysis
- Cancer Treatment and Pharmacology
- Forecasting Techniques and Applications
- PARP inhibition in cancer therapy
- Genomics and Chromatin Dynamics
- Machine Learning in Healthcare
- Animal Virus Infections Studies
- Fungal and yeast genetics research
- Stock Market Forecasting Methods
Chandigarh University
2024-2025
University of Mumbai
2024
South Asian University
2020-2024
Babu Banarasi Das University
2021
Central Drug Research Institute
2010
Heart disease prediction using machine learning methods faces various challenges, such as low data quality, missing irrelevant values, and underfit overfit problems, which increase the time complexity degrade model's performance. Moreover, hybrid models for heart showed poor accuracy due to irrelevancy in dataset. Therefore, a search optimizer with deep convolutional neural network coupled Deep Bidirectional long short-term memory classifier (SCN-Deep BiLSTM) is proposed handle...
Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, several DL ML methods have been developed over the last decade. However, classical approaches may be prone to overfitting under fitting issues, model performance lag due unavailability annotated datasets. To overcome these research proposed for heart by integrating blockchain technology with Modified mixed attention-enabled search optimizer-based CNN-Bidirectional Long...
Zinc(II) complexes of 3-hydroxy-2-formylpyridine N(4)-methylthiosemicarbazone (1) and N(4)-pyrrolidinyl thiosemicarbazone (2) respectively have been synthesized characterized by elemental analysis, IR, UV–Vis, 1H NMR spectroscopy mass spectrometry. These compounds were investigated for their antiproliferative potential against PC3 (Prostate Cancer), DU145 A549 (Lung A431 (skin cancer) Hela (Cervical Cancer cell) cell lines. All the showed good activity tested However, compound HHyPyPyrd...
Abstract: Atopic dermatitis (AD) is a non-fatal, non-communicable, chronic skin inflammatory condition marked by itching, lesions, and barrier dysfunction. As per the International Eczema Council, as of 2022, more than 200 million people were suffering from AD, with disease burden reported highest in children. Environmental factors, genetic predisposition, lifestyle have been found to be essential factors triggering adverse response. In this review, we provide detailed overview...
<title>Abstract</title> Health monitoring systems employing machine learning facilitate the collection and collaboration of data from comatose patients, leveraging sensors in hospitals via IoT technology. This aids doctors enhancing managing health patients during emergency situations. The hardware platform for this project integrates cameras capable internet communication, enabling remote access smartphones. innovative approach empowers to monitor patients' statuses globally. Sensors gather...
Background: Phytochemicals have long remained an essential component of the traditional medicine system worldwide. Advancement research in phytochemicals has led to identification novel constituents and metabolites from phytochemicals, performing various vital functions ranging antimicrobial properties anticarcinogenic roles. This plant is traditionally used by local people manage inflammation. In this study, we aim extract chemically profile oil leaves Cleistocalyx operculatus (Roxb.) Merr....