21 papers · ranked by Valyu relevance
Alexander Muacevic, John R Adler, Meet Popatbhai Kachhadia, Imad Sibhai + 8 more
Neurological and psychiatric disorders such as Parkinson’s disease, essential tremor, epilepsy, Tourette’s syndrome, depression, and chronic pain remain major causes of disability worldwide. For patients who fail to respond to medication, neuromodulation, particularly deep-brain stimulation (DBS), has become a…
Shuai Liu, Jiansong Zhang, Y. Luo, Guoliang Wei + 4 more
—Sleep disorders have emerged as a critical global health issue, highlighting the urgent need for effective and widely accessible intervention technologies. Non-invasive brain stimulation has garnered attention as it enables direct or indirect modulation of neural activity, thereby promoting sleep enhancement in a safe…
Xuecheng He, Wei Huang, Wensheng Lin, Binbin Cui + 9 more
Effective blood glucose management is an increasing demand worldwide. Traditional solutions separate glucose detection and insulin delivery, which is less efficient compared to emerging closed-loop wearable systems controlled by continuous glucose monitors (CGMs). However, CGM-controlled systems raise new safety risks…
Emmanouil Alexis, Clarence W. Rowley, José L. Avalos
Achieving complex multi-species control objectives is essential for engineering advanced autoregulated biomolecular devices. This paper addresses the problem of robust steady-state tracking for outputs defined as multiplicative combinations of biomolecular species concentrations. We first introduce a control…
Authors not listed
Self-driving laboratories (SDLs) are poised to transform materials discovery by integrating automation with machine learning (ML) to accelerate data-driven experimentation. However, most SDL frameworks remain limited by single-feedback optimization and lack the multi-modal diagnostics needed to resolve both optical and…
Ching-Hsiang Chang, Asterios Arampatzis, Samuel Balula, Mucun Hou + 4 more
Adaptive, closed-loop control of cellular behavior is essential for next-generation therapies, yet most current treatments operate in an open-loop manner and lack robustness to patient variability and disease dynamics. Here, we establish a controltheoretic platform for rational engineering of closed-loop cell-based…
Malte R. Güth, Drew B. Headley, Travis E. Baker
Current closed-loop TMS-EEG systems rely on phase prediction algorithms that require highly periodic signals, limiting their ability to target brief, event-related activity. We developed a real-time closed-loop (RT-CL) TMS-EEG system that directly detects oscillatory phase without prediction, enabling phase-locked…
Yan Cheng, Xiangkui Guo, Lijia Dong, Qiang Deng + 2 more
Background Stroke is one of the leading causes of long-term disability in older worldwide. As an emerging neuromodulation intervention, closed-loop brain-computer interfaces (BCIs) aim to promote the reconstruction of the damaged cortex through real-time feedback mechanisms. This study aims to systematically review the…
Delin Ma, Weijie Xu, Yan Yang, Lingyan Bai + 18 more
Background: Evidence supports the effectiveness and safety of open-source automated insulin delivery (AID) in patients with type 1 diabetes. However, evidence regarding the clinical application of open-source AID in perioperative patients with type 2 diabetes remains limited. Methods: This was an open-label…
Koen Classens, Tjeerd Ickenroth, Jeroen van de Wijdeven, Tom Oomen
Faults compromise the reliability and safety of complex engineering systems. The aim of this article is to address the problem of robust fault detection filter design for continuous-time linear time-invariant uncertain systems in open-loop or closed-loop configurations. The developed method offers a unified approach to…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
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Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Xiaoyu Zhang, Zhou Fang
This paper introduces a biomolecular Linear Quadratic Regulator (LQR) to investigate the design principles of gene regulatory networks. We show that for fundamental gene regulation network, the bio-controller derived from LQR theory precisely recapitulate natural network motifs, such as auto-regulation and incoherent…
Willem S. van Hoogstraten, Elías M. Fernandez Santoro, Lorena M. Hähner, Chris I. De Zeeuw
Neocerebellum facilitates motor and cognitive behavior via olivocerebellar modules, in which Purkinje cells (PCs), cerebellar nuclei (CN) neurons and olivary cells are supposed to form exclusively closed-loops. Here, we show that parts of the modules can be organized in an open-loop feedforward fashion where PCs do not…
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Realizing the promise of artificial intelligence (AI) to accelerate scientific progress and deliver technological impact depends on how effectively AI can be integrated into real-world decision- making processes. As Peter Norvig states, “Somewhat remarkably, almost all AI research until very recently has assumed that…
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Chemistry curricula often separate “wet” experimental work from “dry” computation, yet modern discovery increasingly demands both. This Perspective offers an instructor-ready roadmap to train “hybrid chemists” within existing courses. We distill recent advances in machine learning, automation, and real-time analytics…
Eugene Lavretsky
– In this paper, a state feedback control design with min/max operational limiting constraints is developed for multi-input-multi-output linear time invariant systems. Specifically, servo-tracking control problems with input and output constraints are considered. For static servo-controllers, the output design limits…
Yuehua Peng, Yuchen Zhang, Qin Huang, Chengzhi Ye + 1 more
Understanding how typhoons respond to localized perturbations in their environmental fields is fundamental to assessing the limits of predictability and exploring the potential for track or intensity intervention. This study develops a dedicated simulation methodology testbed for typhoon sensitivity analysis by…
Peter Ruoff
This paper presents an analysis of compensatory flux organizations in integral controllers, which are combined at the level of the controlled variable. Dependent on the controllers’ relative setpoints two types of compensatory flux regulations occur, which have been termed delegated and isolated control. In delegated…
Gerson Portilla, Carolina Albea, Alexandre Seuret
Robust stabilization conditions for uncertain switched affine systems subject to a unitary input delay are presented. They are obtained through the Lyapunov framework and a min-switching state-feedback predictive control law. The result relies on a prediction scheme considering nominal system parameters. By…
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Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…