Results 171 to 180 of about 57,852 (256)

Nanomaterial Strategies for Pulmonary Delivery of Immunotherapeutics in Lung Cancer Treatment

Advanced Healthcare Materials, EarlyView.
Inhalable immunotherapeutic nanomedicines enable organ‐selective immune modulation by overcoming pulmonary delivery barriers and concentrating therapy within lung tumors. This Review defines how nanomaterial properties govern airway deposition, retention, cellular partitioning, and immune activation across vaccines, checkpoint blockade, STING agonists,
Han Zhang, Wei Tang
wiley   +1 more source

Preoperative differentiation of borderline and malignant ovarian tumors using interpretable machine learning. [PDF]

J Ovarian Res
SamadiAfshar S, Azizi H, Masoudi M, SamadiAfshar S, Nikakhtar A, Skutella T.   +5 more
europepmc   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Interpretable machine learning for in-hospital mortality prediction in ICU patients with traumatic brain injury. [PDF]

Front Neurol
Liu N, Li C.
europepmc   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Retraction: Interpretable machine learning framework for predicting Urban air quality. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions. [PDF]

Health Care Manag Sci
Bohlen L, Rosenberger J, Hambauer N, Zähringer D, Franz V, Zschech P, Kraus M.   +6 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps. [PDF]

Cardiovasc Eng Technol
Blum C, Neidlin M.
europepmc   +1 more source