I am a pharmaceutical student researcher and global advocate operating at the intersection of life sciences, technology, and international policy. Currently I am a B.Pharm candidate at the Manipal College of Pharmaceutical Sciences (QS World Rank 76 for Pharmacy and Pharmacology)
Pharmacoeconomics Bioinformatics Public Health Epidemiology Artificial Intelligence
Melanoma is the most aggressive form of skin cancer, early diagnosis and treatment are critical for determining treatment outcomes. Traditional diagnostic methods, such as clinical examination, dermoscopy, and histopathology, provide valuable insights but are limited by subjectivity and interobserver variability. Artificial intelligence (AI), particularly convolutional neural networks, has shown strong potential to enhance melanoma detection, offering accuracy comparable to dermatologists. This review summarizes current and emerging applications of AI in melanoma diagnosis, covering diagnostic tools, educational systems, and smartphone-based apps. Despite encouraging results, challenges such as interpretability, data bias, regulatory hurdles, and ethical issues remain. Integrating AI into clinical workflows, supported by diverse and validated datasets, could significantly improve early therapeutic interventions and patient management.
Hello everyone, I am a published student pharmaceutical researcher (Scopus-indexed, JAPS) and former Pfizer extern seeking to contribute sp…
Calling for long term collaboration or contributors to the fields: digital governance, public administration, Smart Corrections. Target in…
I am planning to develop several articles focused on recent advances in clinical medicine, surgical oncology, innovations in General surger…