WearOptimo to Unveil New AI-Native Wearable Sensing Technology at Abu Dhabi Future Health Summit

In October 2026, at the Abu Dhabi Future Health Summit to take place at ADNEC Centre in Abu Dhabi, the Founder and CEO of WearOptimo, Dr. Mark Kendall, will reveal a new generation of its Microwearable sensing technology that integrates Artificial Intelligence with physiological intelligence that will help tackle social challenges.

Typical wearables are able to pick up surface-level signals from the skin; WearOptimo's Microwearable interface measures multi-frequency, multi-channel bioimpedance signals, as well as temperature and motion data, just a hair's width beneath the skin. Its proprietary AI engine is created to read these signals and deliver customized, physiological analyses in a variety of health applications.

Impact on the Smart Healthcare Market

The global smart healthcare market size accounted for USD 418.59 billion in 2026 and is projected to reach USD 1,695.90 billion by 2035, growing at a CAGR of 16.76% from 2026 to 2035.

According to Precedence Research, the rapidly growing adoption of RPM and telehealth services, along with promises of rewards by the government and injections of capital, are expected to drive the global smart healthcare market. The global smart healthcare market is anticipated to drive significant growth due to the government's push for investment and support, along with the rising issue of remote patient monitoring and telehealth.

The personalized healthcare surveillance, which WEAR-OPTIMO personifies with Microwearable technology. These units are located just underneath the skin, where most conventional units on the surface may not be able to accurately determine physiology. The technology could help detect physiological changes soon and assist the user in their health decisions.

Impact on the Smart Healthcare Products Market

The global smart healthcare products market size is predicted to increase from USD 221.06 billion in 2026 to approximately USD 557.65 billion by 2035, expanding at a CAGR of 10.92% from 2026 to 2035.

According to Precedence Research, the technological enhancement of sensors, communication techniques, and Internet of Things products is contributing to the expansion of the connected healthcare products market. These technologies allow health-related information to be collected, transmitted, and stored more effectively in medical devices and medical hardware.

With the growing evolution of in-skin sensing characteristics, WearOptimo's Microwearable platform is able to integrate in-skin, temperature, and motion sensing in a compact wearable. It has the potential to enable more capabilities for wearable health & fitness devices than just fitness tracking.

Impact on the Artificial Intelligence in Healthcare Market

The global artificial intelligence in healthcare market size is predicted to increase from USD 51.20 billion in 2026 to approximately USD 744.34 billion by 2035, expanding at a CAGR of 35.02% from 2026 to 2035.

According to Precedence Research, AI is expanding in the healthcare industry due to technological advancements, increasing patient access, and the increasing adoption of digital healthcare services. Medical devices can also continuously monitor physiological details, enabling the identification of trends and assist via Artificial Intelligence in healthcare decision-making.

To be able to interpret the signals detected by its micro-wearable sensors and transform them into a personal physiological interpretation, WearOptimo is working on a proprietary AI engine. This data-gathering approach employs AI to interpret the data as well, with the potential to understand changes in the user's physiology.

Expert Opinion

From the healthcare technology and monitoring perspective, the news from WearOptimo exemplifies the convergence of biosensors, wearable devices, and AI. The company's goal is to achieve deeper penetration than skin level metrics and utilize AI to make sense of multiple physiologic signals beneath the skin's surface of the body.

Microwearable technology will translate complex physiological measures into comprehensible, usable and reliable information. Other uptake factors will be comfort of the device, continuous monitoring capabilities, assurance of data security, and appropriateness to healthcare workflows.