Our team of experts includes data scientists, machine learning engineers, healthcare professionals, and computer scientists who work together to develop cutting-edge solutions for the healthcare industry.
Our vision is to develop AI-powered decision support systems which assist healthcare professionals in interpreting complex data and making accurate diagnose at the earliest possible stage. Aim to integrate AI models and predictive analytics algorithms that leverage patient data to identify individuals who may be at a higher risk of developing certain diseases.
Our mission is to develop easy-to-use products that diagnose diseases more effectively and accurately. Also to advance the field of predictive analytics in healthcare by working with healthcare providers, researchers, and policymakers to deliver better outcomes.
The objective of our lab is to assist healthcare professionals in detecting diseases, identifying risks, and making more accurate diagnoses by analyzing medical data such as medical images and patient records using AI.
The system enables healthcare providers to view different challenging issues such as Infant Mortality Rate (IMR), Maternal Mortality Rate (MM ....
It helps healthcare providers to identify individuals who are at a higher risk of developing certain diseases or conditions.By detecting disease risks early, healthcare providers can ....
Our general prediction system provides a flexible and adaptable framework for making predictions across different domains. It allows users to leverage a variety of algorithms ....
The predictive analytics lab's collaboration with the Government of Sindh, the National Institutes of Health, and the Health Service Academy aims to improve healthcare outcomes through the use of predictive analytics and machine learning techniques.
