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In this work, we reflect on the data-driven modeling paradigm that is gaining ground in AI-driven automation of patient care. We argue that the repurposing of existing real-world patient datasets for machine learning may not always…

Chiral nanophotonic devices are promising candidates for chiral molecules sensing, polarization diverse nanophotonics and display technologies. Active chiral nanophotonic devices, where the optical chirality can be controlled by an external…

Active nematics are dense systems of rodlike particles that consume energy to drive motion at the level of the individual particles. They exist in natural systems like biological tissues and artificial materials such as suspensions of…

Soft Condensed Matter · Physics 2023-12-14 Yunrui Li , Zahra Zarei , Phu N. Tran , Yifei Wang , Aparna Baskaran , Seth Fraden , Michael F. Hagan , Pengyu Hong

For the past decades medical robotic solutions were mostly based on the concept of tele-manipulation. While their design was extremely intelligent, allowing for better access, improved dexterity, reduced tremor, and improved imaging, their…

Robotics · Computer Science 2026-04-14 Nassir Navab , Zhongliang Jiang

Magnetic navigation systems, including magnetic tracking systems and magnetic actuation systems, have shown great potential for occlusion-free localization and remote control of intracorporeal medical devices and robots in minimally…

Robotics · Computer Science 2026-03-09 Heng Wang , Haoyu Song , Jiatao Zheng , Yuxiang Han , Kunli Wang

The physical properties of magnetic nanoparticles have been investigated with focus on the influence of dipolar interparticle interaction. For weakly coupled nanoparticles, thermodynamic perturbation theory is employed to derive analytical…

Materials Science · Physics 2016-08-31 Petra E. Jönsson

Magnetic nanoparticles (MNPs) derived from the Massart coprecipitation method have played a pioneering role in bridging materials science and biology. Their magnetic moment and nanoscale dimensions have long enabled applications in magnetic…

Soft Condensed Matter · Physics 2025-12-02 Myriam Reffay , Gilles Tessier , Jean-François Berret

Plasmonic wireless nanolinks hold great promise to overcome limitations from conventional metallic wires, namely narrow bandwidths, Ohmic losses, dispersion and cross-talking. However, current developments are limited to the wireless…

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the…

Emerging Technologies · Computer Science 2025-01-17 Daniel Brunner , Bhavin J. Shastri , Mohammed A. Al Qadasi , H. Ballani , Sylvain Barbay , Stefano Biasi , Peter Bienstman , Simon Bilodeau , Wim Bogaerts , Fabian Böhm , G. Brennan , Sonia Buckley , Xinlun Cai , Marcello Calvanese Strinati , B. Canakci , Benoit Charbonnier , Mario Chemnitz , Yitong Chen , Stanley Cheung , Jeff Chiles , Suyeon Choi , Demetrios N. Christodoulides , Lukas Chrostowski , J. Chu , J. H. Clegg , D. Cletheroe , Claudio Conti , Qionghai Dai , Luigi Di Lauro , Nikolaos Panteleimon Diamantopoulos , Niyazi Ulas Dinc , Jacob Ewaniuk , Shanhui Fan , Lu Fang , Riccardo Franchi , Pedro Freire , Silvia Gentilini , Sylvain Gigan , Gian Luca Giorgi , C. Gkantsidis , J. Gladrow , Elena Goi , M. Goldmann , A. Grabulosa , Min Gu , Xianxin Guo , Matěj Hejda , F. Horst , Jih Liang Hsieh , Jianqi Hu , Juejun Hu , Chaoran Huang , Antonio Hurtado , Lina Jaurigue , K. P. Kalinin , Morteza Kamalian Kopae , D. J. Kelly , Mercedeh Khajavikhan , H. Kremer , Jeremie Laydevant , Joshua C. Lederman , Jongheon Lee , Daan Lenstra , Gordon H. Y. Li , Mo Li , Yuhang Li , Xing Lin , Zhongjin Lin , Mieszko Lis , Kathy Lüdge , Alessio Lugnan , Alessandro Lupo , A. I. Lvovsky , Egor Manuylovich , Alireza Marandi , Federico Marchesin , Serge Massar , Adam N. McCaughan , Peter L. McMahon , Miltiadis Moralis Pegios , Roberto Morandotti , Christophe Moser , David J. Moss , Avilash Mukherjee , Mahdi Nikdast , B. J. Offrein , Ilker Oguz , Bakhrom Oripov , G. O'Shea , Aydogan Ozcan , F. Parmigiani , Sudeep Pasricha , Fabio Pavanello , Lorenzo Pavesi , Nicola Peserico , L. Pickup , Davide Pierangeli , Nikos Pleros , Xavier Porte , Bryce A. Primavera , Paul Prucnal , Demetri Psaltis , Lukas Puts , Fei Qiao , B. Rahmani , Fabrice Raineri , Carlos A. Ríos Ocampo , Joshua Robertson , Bruno Romeira , Charles Roques Carmes , Nir Rotenberg , A. Rowstron , Steffen Schoenhardt , Russell L . T. Schwartz , Jeffrey M. Shainline , Sudip Shekhar , Anas Skalli , Mandar M. Sohoni , Volker J. Sorger , Miguel C. Soriano , James Spall , Ripalta Stabile , Birgit Stiller , Satoshi Sunada , Anastasios Tefas , Bassem Tossoun , Apostolos Tsakyridis , Sergei K. Turitsyn , Guy Van der Sande , Thomas Van Vaerenbergh , Daniele Veraldi , Guy Verschaffelt , E. A. Vlieg , Hao Wang , Tianyu Wang , Gordon Wetzstein , Logan G. Wright , Changming Wu , Chu Wu , Jiamin Wu , Fei Xia , Xingyuan Xu , Hangbo Yang , Weiming Yao , Mustafa Yildirim , S. J. Ben Yoo , Nathan Youngblood , Roberta Zambrini , Haiou Zhang , Weipeng Zhang

Understanding the evolution of brain functional networks over time is of great significance for the analysis of cognitive mechanisms and the diagnosis of neurological diseases. Existing methods often have difficulty in capturing the…

Machine Learning · Computer Science 2025-10-30 Tianqi Guo , Liping Chen , Ciyuan Peng , Jingjing Zhou , Jing Ren

The utilization of mHealth applications for remote monitoring has the potential to revolutionize healthcare delivery by enhancing patient outcomes, increasing access to healthcare services, and reducing healthcare costs. This literature…

Software Engineering · Computer Science 2024-08-27 Avnish Singh Jat , Tor-Morten Grønli

Enhancing magneto-optical effects is crucial for size reduction of key photonic devices based on non-reciprocal propagation of light and to enable active nanophotonics. We disclose a so far unexplored approach that exploits dark plasmons to…

As computer vision algorithms increase in capability, their applications in clinical systems will become more pervasive. These applications include: diagnostics, such as colonoscopy and bronchoscopy; guiding biopsies, minimally invasive…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Adam Schmidt , Omid Mohareri , Simon DiMaio , Michael C. Yip , Septimiu E. Salcudean

Advances in the field of plasmonics, that is, nanophotonics based on optical properties of metal nanostructures, paved the way for the development of ultrasensitive biological sensors and other devices whose operating principles are based…

Applied Physics · Physics 2019-02-20 Sergey Lepeshov , Alexander Krasnok , Pavel Belov , Andrey Miroshnichenko

Foundation models, often pre-trained with large-scale data, have achieved paramount success in jump-starting various vision and language applications. Recent advances further enable adapting foundation models in downstream tasks efficiently…

Computer Vision and Pattern Recognition · Computer Science 2023-06-19 Dequan Wang , Xiaosong Wang , Lilong Wang , Mengzhang Li , Qian Da , Xiaoqiang Liu , Xiangyu Gao , Jun Shen , Junjun He , Tian Shen , Qi Duan , Jie Zhao , Kang Li , Yu Qiao , Shaoting Zhang

All-dielectric nanophotonics is an exciting and rapidly developing area of nanooptics which utilizes the resonant behavior of high-index low-loss dielectric nanoparticles for enhancing light-matter interaction on the nanoscale. When…

We study the deterministic dynamics of single-domain ferromagnetic nanoparticles in a viscous liquid induced by the joint action of the gradient and uniform magnetic fields. It is assumed that the gradient field depends on time harmonically…

Mesoscale and Nanoscale Physics · Physics 2021-12-03 S. I. Denisov , M. M. Moskalenko , T. V. Lyutyy , M. Yu. Baryba

All-dielectric resonant nanophotonics is a rapidly developing research field driven by its exceptional application potential for low-loss nanoscale metadevices. The tight confinement of the local electromagnetic fields and interferences in…

Optics · Physics 2018-10-26 Isabelle Staude , Thomas Pertsch , Yuri Kivshar

Magnetic nanoparticle (MNP) has attracted interest in various research fields due to its special superparamagnetic and strong magneto-optical effects, especially as contrast agents to enhance the contrast of medical imaging. By introducing…

Optics · Physics 2023-08-01 Xinchao Cui , Feidi Xiang , Chong Lu , Chunping Liu , Wenzhong Liu

The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems…