The intersection of biotechnology and artificial intelligence (AI) is poised to address the inefficiencies and ethical concerns plaguing the current drug development process. One of the most promising innovations in this field is the Bio-AI clinical prediction platform developed by Quris-AI, which
Cancer therapy has always been a challenging field, with the need to balance efficacy and minimize side effects. Traditional treatments often lack precision, leading to systemic toxicity and reduced patient quality of life. In recent years, the development of drug-based nanostructures has emerged
The global lung cancer surgery market is on the cusp of transformative growth, driven by several crucial factors from 2025 to 2035. Lung cancer remains the leading cause of cancer-related deaths worldwide, with over 1.8 million recorded fatalities in 2020 alone. Surgical interventions such as
Cancer metastasis remains one of the most challenging aspects of cancer treatment, significantly impacting patient survival rates. Recent research has shed light on the crucial role of the extracellular matrix (ECM) in influencing cancer cell behavior and metastasis. Understanding these
AI is revolutionizing precision and personalized oncology care by enabling more accurate diagnoses, predicting patient outcomes, and tailoring treatments to individual needs. Through advanced algorithms and machine learning, AI can analyze vast amounts of data, including medical records, genetic
In a significant step toward understanding and combating childhood cancers and congenital disorders, the Gabriella Miller Kids First Pediatric Research Program (Kids First), an initiative of the National Institutes of Health (NIH), has released two comprehensive new datasets. Focusing on childhood
