The goal of Revolutionizing Healthcare, a series of engagement events for clinicians, is to foster discussion and idea sharing on issues that will shape the use of machine learning in healthcare in the future. The problems and potential in the clinical use of machine learning are the main topics of these gatherings for those in the healthcare industry. Behind the scenes, experts are creating technologies that are simplifying and transforming healthcare services. These developments sometimes referred to as digital health, are enhancing chronic and acute sickness diagnosis and treatment, among other things. Robotic surgery, often known as robot-assisted surgery, gives clinicians greater control and flexibility during various medical operations. The method is frequently employed for minimally invasive operations, although it is occasionally also applied to some types of open surgical procedures. Medical equipment, prosthetics, and even transplants have all been made using 3D printing technology. Hearing aids and dental implants are two of the most common applications for 3D printing. This process is also slowly producing blood arteries, cartilages, and heart valves. The entertainment industry was the initial home of virtual reality (VR), augmented reality (AR), and mixed reality (MR). They are now, however, also utilized in the medical industry. Treatment for stress disorders, problems with the mind, and other conditions are provided through this technique.
Title : The impact of metal-decorated polymeric nanodots on proton relaxivity
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Hepatotoxic botanicals-shadows of pearls
Consolato M Sergi, Universities of Alberta and Ottawa, Canada
Title : Exploring classical ayurvedic drugs in hypertension
Prashant Bhokardankar, Datta Meghe Ayurved College, India
Title : Principles and standards for managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model based on design-inspired biotech- & biopharma-driven applications to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Antibody proteases as translational tools of the next step generation to be applied for biopharmacy related and precision medical practice
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Easily injectable, organic solvent free self assembled hydrogel platform for endoscope mediated gastrointestinal polypectomy
Hitasha Vithalani , IIT Gandhinagar, India
Title : Cognitivevoice: Novel machine learning model leveraging acoustic features to predict future cognitive decline in Parkinson’s Disease
Aadya Daga, Hamilton High School, United States
Title : Platelet-activating factor-receptor pathway mediates solar radiation-induced extracellular vesicle release in human keratinocytes
Ravi P Sahu, Wright State University, United States