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Innovations in Antimicrobal Dental Fillings, Robotic Actuators and Grippers, Single-photon Emitters, Artificial Intelligence, and Autofocal Lenses

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  • 15 Pages
  • August 2019
  • Region: Global
  • Frost & Sullivan
  • ID: 4852450

This edition of the Inside R&D TechVision Opportunity Engine (TOE) features trends and innovations in antimicrobal dental fillings, robotic actuators, and grippers. The edition also provides insights on the role of single-photon emitters, artificial intelligence, and auto focal lenses. The TOE covers innovations in corrosion identification, Alzheimer’s disease detection, and chemical separation methods. The TOE has comprehensive coverage on applications of AI and deep neural networks. Some of the topics covered include fuel cells and ultrathin wearable devices.

Inside R&D TechVision Opportunity Engine covers global innovations that are in research and development in virtually all technology areas. We provide intelligence and insights on innovations spanning a wide variety of industry areas, including automation, electronics, sensors, information and communication technologies, manufacturing, health, wellness, medical devices, pharma, biotechnology, materials, coatings, renewable fuels, automotive, power systems, sustainable energy solutions and innovations that contribute to a cleaner and greener environment.

Table of Contents

Advancements in Antimicrobal Dental Fillings, Robotic Actuators and Grippers, Single-photon Emitters, Artificial Intelligence, and Autofocal Lenses

  • Antimicrobial Dental Fillings Prevent Tooth Decay
  • Impact on Sectors
  • Natural Alternative for Robotic Actuators
  • Impact on Sectors
  • Growing Single-photon Emitters
  • Impact on Sectors
  • Identifying Nanoscale Corrosion in Steel Pipes
  • Impact on Sectors
  • Amyotrophic Lateral Sclerosis Diagnostic Tests
  • Impact on Sectors
  • Blood Test for Alzheimer’s Disease
  • Accelerating AD Clinical Trials
  • Decoding the Process of Immune Evasion and Resistance in Solid Tumors
  • DUX4 can be Targeted to Overcome Immune Resistance and Evasion in Cancers
  • Spectrally Encoded Confocal Microscopy-based Capsule for Pediatric Applications
  • Pediatric SECM Capsule has Broad Applications in GI Tract Diseases and Elsewhere
  • Novel Chemical Separation Method
  • Developed Separation Method Will Provide a Potential Breakthrough for Cancer Treatment
  • Using Artificial Intelligence to Automate Garment Knitting Process
  • Using AI to Enable Customers to Design their Own Garments
  • Leveraging Deep Neural Networks to Control Landings of Autonomous Drones
  • Inducing Stability into Drone Landings for Mission Critical Applications
  • Tracking the Human Eye to Focus Lenses Automatically
  • Autofocal Lenses to Enable More Efficient Vision for Individuals with Presbyopia
  • Using Artificial Intelligence to Accelerate Polymer Discovery
  • Novel Polymer Design Techniques to Accelerate Discovery Cycles
  • Using AI to Design Solar Cells
  • Designing Cheaper Solar Cells to Accelerate their Adoption
  • Designing Novel Materials for Capacitors using Machine Learning
  • Exploring Enhancements in Capacitors to Replace Batteries
  • Engineered Enzymes Capable of Producing High-value Biochemicals
  • Lignin Conversion will Benefit the Biotechnology and Chemical Industries
  • Soft Biohybrid Robotic Gripper for Chemical Detection
  • Soft Biohybrid Robotics will Hugely Benefit the Synthetic Biology and Robotics Industries
  • Flexible Porous Polymers for High-capacity Methane Storage
  • Adsorbent Material will Benefit for Safe Gas Storage Infrastructure
  • Cost-effective Catalyst for the Water Electrolysis and Fuel Cells
  • Cost-effective Catalyst is Suitable for Polymer Electrolyte Membrane Fuel Cells
  • Soft and Ultra-thin Wearable Device
  • Impact on Sectors
  • Key Contacts