Results 101 to 110 of about 440,724 (260)

Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models [PDF]

, 2021
Martin Brablc, Jan Žegklitz, R. Grepl, Robert Babuška   +3 more
openalex   +1 more source

Electrochemical Biosensor for Rapid Detection of Acute Rejection in Kidney Transplants

Advanced Healthcare Materials, EarlyView.
A low‐cost, rapid electrochemical immunosensor coated with a novel antifouling nanocomposite enables single‐step, dual‐biomarker profiling directly from unprocessed urine. Application in a clinical study shows accurate discrimination of acute rejection in kidney transplants from other acute kidney injuries via machine learning.
Rohit Gupta, Nikolaos Salaris, Ashish Kalkal, Fernando Yuen Chang, Maryam Javed, Azhar Ali Khan, Priya Mandal, Stavroula Balabani, Reza Motallebzadeh, Manish K. Tiwari   +9 more
wiley   +1 more source

Incremental Learning in Multiple Limb Positions for Electromyography-Based Gesture Recognition using Hyperdimensional Computing

, 2021
Andy Zhou, Rikky Muller, Jan M. Rabaey
openalex   +1 more source

Body Biofluids for Minimally‐Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential

Advanced Healthcare Materials, EarlyView.
Recent advances in diagnostics have accelerated the development of miniaturized wearable technologies for the continuous monitoring of diseases. This paradigm is shifting healthcare away from invasive, centralized blood tests toward decentralized monitoring, using alternative body biofluids.
Lanka Tata Rao, Chandan Kumar Mandal, Fernando Patolsky   +2 more
wiley   +1 more source

Incremental Learning from Noisy Data [PDF]

, 1986
Jeffrey C. Schlimmer, Richard Granger
openalex   +1 more source

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

Progressive Insights into 3D Bioprinting for Corneal Tissue Restoration

Advanced Healthcare Materials, EarlyView.
This review explores the potential of 3D bioprinting to replicate the complex structure and function of the human cornea. It highlights key advances in bioink development, printing modalities, and in vivo performance, while addressing current challenges and emerging strategies. The review emphasizes bioprinting's promise to overcome donor shortages and
Ilayda Namli, Deepak Gupta, Yogendra Pratap Singh, Pallab Datta, Muhammad Rizwan, Mehmet Baykara, Ibrahim T. Ozbolat   +6 more
wiley   +1 more source

Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments

, 2022
Bojian Chen, Changqing Shen, Juanjuan Shi, Lin Kong, Luyang Tan, Dong Wang, Zhongkui Zhu   +6 more
openalex   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Adsorption and Separation by Flexible MOFs

Advanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska, Volodymyr Bon, Antonia Mosberger, Yutong Wang, Stefan Kaskel   +4 more
wiley   +1 more source