At SGT University, we are pioneering the development of predictive models utilizing feed-forward and backpropagation Artificial Neural Networks (ANN) to enhance healthcare outcomes.
Transforming Healthcare with Artificial Intelligence
Artificial Intelligence (AI) is revolutionizing the healthcare industry by providing high-precision technological solutions for diagnosis, severity prediction, and treatment options for various diseases. The shift towards AI in healthcare is driven by the exponential growth of medical data and advancements in machine learning techniques, particularly through Artificial Neural Networks (ANN) and Deep Learning. AI's application spans across multiple domains, including cancer research, neurology, endocrinology, nutrition, and cardiology, where it effectively mimics human cognitive functions in fields like psychology, neuroscience, and facial recognition.
Understanding Artificial Intelligence
AI is a branch of computer science focused on creating intelligent systems that operate and respond similarly to humans. These systems follow a three-step process:
- Input Data Acquisition: Gathering relevant information from various sources.
- Data Processing: Utilizing machine learning algorithms to analyze the data.
- Output Generation: Producing actionable information to aid in decision-making.
The effectiveness of any AI system is contingent upon the authenticity of the input data and the robustness of the applied machine learning protocols. AI is employed in healthcare to extract coherent information, aiding in diagnosis and disease severity analysis. Researchers are actively working on developing new learning algorithms capable of managing vast amounts of data, providing accurate outputs in a timely manner.
Our Research Initiatives at SGT University
At SGT University, our dedicated research team is engaged in developing predictive models using feed-forward and backpropagation Artificial Neural Networks. These models are instrumental in predicting the pharmacological activity of new chemical entities and nanomaterials. Furthermore, our research extends to toxicity profiling, ensuring safety and efficacy in new substances.
Conclusion
The integration of AI into the healthcare system holds immense potential for improving patient care, enhancing diagnostic accuracy, and streamlining treatment processes. With ongoing research and innovation, SGT University is committed to contributing to this transformative journey in healthcare.
Dr. Manish Kumar Gupta
Professor
SGT College of Pharmacy
SGT University, Gurugram
