The Precision Medicine World Conference will be one of the most exciting conferences focused on AI in healthcare in 2018. CEOs of cutting edge companies from around the world will come together to discuss how they are using techniques such as computer vision, deep learning and machine learning to make big advances in medicine from drug discovery to patient diagnosis and treatment. The program will traverse innovative technologies and clinical case studies that enable the translation of precision medicine into direct improvements in health care. Attendees will have an opportunity to learn about the latest developments in Precision Medicine and cutting-edge new strategies that are changing how patients are treated.
The world's population is expected to increase by one billion people by 2025, with nearly a third expected to be aged 65 and over. It is a testament to medical science that we are all living for longer, but whilst these advances have enabled us to spend more time enjoying retirement, Europe will increasingly be left with an ageing population – and this brings with it a set of challenges for healthcare systems and the patients they look after. Across Europe, there are a growing number of older people whose complex healthcare needs will have to be met. Cancer, in particular, presents a major concern. The data of the WHO (World Health Organization) show that in Europe, there are more than 3.7 million new cases and 1.9 million deaths from cancer each year1.
Taking care of human health is a quite intricate job that requires broad and multiple aspects of the healthcare industry to work together. Healthcare industry is already overburdened with the exploding population and lack of trained doctors. The ratio of doctor to patients in India is 1:1700 which is far higher than the recommended ratio of 1 in every 1000 patients by WHO. The spontaneous increase in the count of efficient healthcare providers is not possible. But the access to intelligent and smart technologies can enhance the productivity and precision of existing ones in serving more patients in a specific time, with the ease to improve healthcare outcomes and in lowering the healthcare expense.
Medical technology is on the brink of being revolutionized by artificial intelligence (AI). In nearly every area of patient care, from chronic diseases and cancer to radiography and risk assessment, the potential of AI to deliver more accurate, efficient, and effective therapies at precisely the appropriate time in a patient's care is almost limitless. As payment systems change, patients expect more from their providers, and the amount of accessible data continues to grow at an alarming pace, artificial intelligence is set to be the engine driving advances throughout the continuum of care. AI has many benefits over conventional analytics and clinical decision-making methods. As they interact with training data, learning algorithms may become more exact and accurate, enabling patients to acquire new insights into diagnoses, care procedures, treatment variability, and outcomes.