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Background: Although bipolar disorder (BD) lacks objective biomarkers of illness progression, wearable devices enable continuous, real-world collection of physiological #Digital biosignals, offering a promising #Approach to address this gap. Measures such as electrodermal activity (EDA) and heart rate variability (HRV) fluctuate with mood state and symptom severity. Previous studies have reported reduced EDA during #depressive episodes and increased HRV following symptom resolution after acute mood episodes. Furthermore, greater illness burden in BD has been associated with lower HRV, suggesting that #Digital biosignals may capture not only state-related changes but also aspects of illness course. Objective: This study investigated whether naturalistic EDA and heart rate (HR) profiles differ according to illness course variables in BD—including diagnosis, predominant polarity, years since onset, and lifetime number of episodes—in euthymic patients, to evaluate their potential as illness course biomarkers. Methods: This cross-sectional post hoc analysis used data from 80 euthymic patients on the BD spectrum from the INTREPIBD-TIMEBASE cohort. Participants were recruited at Hospital Clínic de Barcelona (Spain) between 2021 and 2024 and wore an Empatica E4 wristband for 48 hours in naturalistic settings. Inclusion criteria comprised a current or past (, Fifth Edition) diagnosis of BD confirmed by structured interview and sustained euthymia. We examined the effects of 4 illness course variables (diagnosis, predominant polarity, years since onset, and number of lifetime episodes) on 3 biosignals (mean EDA, EDA peaks per minute, and HR) using generalized additive models. Interactions between illness course variables and circadian patterns were also assessed. All models were adjusted for age, sex, and current antipsychotic use and included a participant-specific random effect. Results: Of the 80 participants, 49 (61.3%) were female; participants’ mean age was 46.9 (SD 14.1) years. After adjustment for covariates and multiple comparisons, no significant associations were observed between illness course variables and EDA or HR. In sensitivity analyses excluding patients with schizoaffective disorder (n=75), years since illness onset and predominant polarity were associated with EDA peaks per minute after multiple comparison correction. Specifically, patients with more than 22 years since illness onset had fewer EDA peaks compared with other groups (β=−1.06, 95% CI −1.71 to −0.41; =.001). No significant interactions were found between illness course variables and circadian patterns of EDA or HR. Conclusions: To our knowledge, this is the first study to examine the association between illness course variables and EDA and HR recorded in naturalistic settings in BD. In contrast to prior findings linking illness burden with HRV, our results suggest that years since illness onset may show modest associations with phasic EDA activity. These findings indicate that #Digital biosignals may be more sensitive to state-related changes than to illness course characteristics, limiting their use as longitudinal biomarkers of disease progression.

Researchers at the National University of Singapore's College of Design and Engineering have created the world's first touchscreen integrated into a garment. The innovative technology involves threading a fiber that functions as both pixels and touch sensors, allowing the garment to display images and video, respond to touch, and connect wirelessly to digital devices. The sleeve prototype, featuring 54 pixel fibers each containing 96 LEDs, forms a 96 by 54-pixel display measuring 168 mm by 105 mm with 8-bit color depth and 30 frames per second refresh rate. This groundbreaking development overcomes previous limitations of textile-based displays by using a novel interconnection architecture and thermal fiber drawing process that integrates thousands of microelectronic devices along a single fiber. The display remains washable, breathable, and flexible after 50 detergent washes and 1,000 bends around a 5 mm radius, maintaining nearly identical light output and touch response. The technology enables garments to serve as direct interfaces to wearers' health data and digital devices, with potential applications in healthcare for continuous physiological monitoring. The research team, led by Assistant Professor Tural Khudiyev, published their findings in Nature on October 21, 2026, and plans to further develop the technology toward higher resolution, integrated sensing, and on-device AI capabilities. This innovation represents a significant step toward clothing that functions as a natural interface between users and digital intelligence, moving beyond traditional wearable screens to create garments that understand both the wearer and their surroundings.

Researchers at the National University of Singapore's College of Design and Engineering have created the world's first touchscreen integrated into a garment. The innovative technology involves threading a fiber that functions as both pixels and touch sensors, allowing the garment to display images and video, respond to touch, and connect wirelessly to digital devices. The sleeve prototype, featuring 54 pixel fibers each containing 96 LEDs, forms a 96 by 54-pixel display measuring 168 mm by 105 mm with 8-bit color depth and 30 frames per second refresh rate. This groundbreaking development overcomes previous limitations of textile-based displays by using a novel interconnection architecture and thermal fiber drawing process that integrates thousands of microelectronic devices along a single fiber. The display remains washable, breathable, and flexible after 50 detergent washes and 1,000 bends around a 5 mm radius, maintaining nearly identical light output and touch response. The technology enables garments to serve as direct interfaces to wearers' health data and digital devices, with potential applications in healthcare for continuous physiological monitoring. The research team, led by Assistant Professor Tural Khudiyev, published their findings in Nature on October 21, 2026, and plans to further develop the technology toward higher resolution, integrated sensing, and on-device AI capabilities. This innovation represents a significant step toward clothing that functions as a natural interface between users and digital intelligence, moving beyond traditional wearable screens to create garments that understand both the wearer and their surroundings.