Digital Revolution and Precision Medicine Conference
07 February 2019
MarketsandMarkets are proud to host its inaugural “Digital Revolution and Precision Medicine Conference” being held on 7th-8th February 2019 in San Diego, CA. The conference will focus on the innovative and disruptive digital health technologies and futuristic business models transforming the precision medicine industry.
The conference further aims in bringing experts from the academics, pharma, start-ups, hospitals and technology providers who will share their recent technological breakthroughs in personalized medicine. As the era of personalized medicine is fast approaching, healthcare is becoming more personalized and tailored to the patient. Digital health platforms has helped converting medical data into a continuous, reliable and complete picture of the patient's health, and data analytics algorithms process information that is specific to individuals, leading to more personal and effective solutions.
Microbiomics and Metabolomics | NGS for Consumers, Patients, and Medical Systems | Role of AI in Precision Medicine | Conversational Intelligence Technologies for Patients and Consumers |Innovative Digital Health Technologies |Tools in Precision Medicine for Immuno-Oncology
Who Should Attend
From pharmaceutical, start-ups, hospitals and research institutes:
CEO, CSO, CMO, CTO, Director, VP, Head, Manager, Principal Scientist, Lead Architects, Lead Engineers, Group leaders, Clinicians, Practitioners (Physicians), Professors, Research fellows working in :
Healthcare has been slow to operationalize technological innovation. How we engage with providers today is not much different than decades ago. This has led to wasteful inefficiencies, persistent poor health outcomes, and out-of-control costs. AdviNow Medical is changing this paradigm. Using Artificial Intelligence and Augmented Reality to power a patient-friendly medical station, we have optimized the healthcare encounter—resulting in reduced overhead, greater patient through-put, billing timeliness and efficiency, and faster value-based, incentivized data collection.