2026. 9.1-9.3

Shanghai New InternationalExpo Center, N1-N4

Exhibition in

Days

Additive Manufacturing of Biomedical Metals for Medical Implant Fabrication

Biomedical metal implant materials are widely used in clinical applications, including dental implants, hip replacement, bone plates, and screws. However, traditional manufacturing processes face limitations in meeting customized medical needs, internal structural control, and efficient material utilization.

Using 3D printing for drug delivery innovation

Medicine is advancing faster than ever before. In 2024, scientists made significant progress and breakthrough discoveries across disciplines from beginning the world’s first routine childhood immunisation campaign against malaria to clinically testing an affordable, copycat version of insulin.

Transformative Medical Device Testing

The medical device industry is on the brink of profound transformation, driven by breakthroughs in artificial intelligence (AI), wearables, additive manufacturing (AM), and enhanced cybersecurity. Medical device manufacturers (MDMs) are starting to embrace the integration of automation, digitization, and Internet of Things (IoT) technologies. So far in 2025, testing firms report increased interest in the end-of-life use of reusable devices, human factors testing for instructions for use (IFU), and low-temperature sterilization methods for temperature-sensitive devices.

Why AI-Driven Remote Patient Monitoring is the Missing Piece in Adult Congenital Heart Disease Management

With fewer than 500 board-certified adult CHD cardiologists in the U.S., specialized care is not always readily available and nearly half of CHD patients are lost to follow-up after adolescence, with many having not seen a cardiologist in over five years. This lack of consistent oversight can leave adults with CHD vulnerable to complications that could have been proactively identified and even prevented with more proactive management.

When Models Fail: Bridging the Gap Between Analytical Models and Empirical Data

Neither analytical models nor physical experiments are sufficient on their own. Progress comes from their interplay, each informing and helping to refine the other. We can resolve discrepancies and deepen our understanding of complex systems by embracing an iterative, informed, systematic approach. And get on with the job of designing and developing the medical device that fills needs and improves lives.

AI-Assisted Physical Therapy Empowers Patients on the Road to Recovery

The demand for physical therapy will only surge as the Baby Boomer generation ages. In fact, physical therapy is expected to grow 18% by 2034. This increase is not surprising, since we have an aging population living longer and people are more active than previous generations. There are many causes for why people receive PT, including chronic conditions, accidents, overuse injuries, post-surgical recovery, chronic pain management, and neurological conditions.

AI-enabled CGM app shows promise for glycemic control, weight management

A new retrospective cohort study in NPJ Digital Medicine examines the role of a January V2, a flexible, artificial intelligence–supported continuous glucose monitoring (CGM) mobile app in improving glycemic control and weight management for individuals across a range of metabolic health statuses.

3D Lung Model Raises the Bar for Research

Respiratory diseases are a challenging problem to treat. Inhalable medicines are a promising solution that depend on the ability to deliver tiny particles known as aerosols to the correct location in the lungs at the correct dosage. 

Thanks for your interested in 2026 Medtec,
the registration will be launche in April 2026.