Results 51 to 60 of about 337,942 (263)

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source

Variance-Covariance Regularization Improves Continual Learning

IEEE Access
In this work, we explore the benefits of Variance-Covariance Regularization in Continual Learning (CL). Neural networks suffer from abrupt performance loss when updated with additional data.
Piotr Hondra, Daniel Marczak, Kamil Deja
doaj   +1 more source

Energy-Efficient and Timeliness-Aware Continual Learning Management System

Energies, 2023
Continual learning has recently become a primary paradigm for deep neural network models in modern artificial intelligence services, where streaming data patterns frequently and irregularly change over time in dynamic environments.
Dong-Ki Kang
doaj   +1 more source

Residual Continual Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
We propose a novel continual learning method called Residual Continual Learning (ResCL). Our method can prevent the catastrophic forgetting phenomenon in sequential learning of multiple tasks, without any source task information except the original network.
Lee, Janghyeon, Joo, Donggyu, Hong, Hyeong Gwon, Kim, Junmo   +3 more
openaire   +3 more sources

Fibronectin1‐Expressing Subicular Circuits Selectively Govern the Retrieval of Novel Object Recognition

Advanced Science, EarlyView.
Fibronectin 1 (FN1)‐expressing subicular subpopulations encode novel object preference and selectively govern retrieval of novel object recognition (NOR) via affecting excitability of entorhinal‐projecting circuit through large conductance Ca2+‐activated potassium (BK) channel. ABSTRACT Novel object recognition (NOR), referring to the cognitive ability
Fan Fei, Jiaying Shi, Jing Xi, Yixiang Xu, Shuye Ying, Xukun Fan, Wangjialu Lu, Zhisheng Li, Menghan Li, Yu Wang, Li Cheng, Lin Yang, Lingyu Xu, Zhong Chen, Cenglin Xu, Yi Wang   +15 more
wiley   +1 more source

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next‐Generation Approaches

Advanced Science, EarlyView.
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey, Sudhir Kumar Rai, Li Ma, Lauren Higa, Vedbar Khadka, Hua Yang, Youping Deng   +6 more
wiley   +1 more source

Pierceable, Water‐Resistant, and Transparent Nanofilm Electrodes Comprising Carbon Nanotubes for Long‐Term Monitoring of Plant Electrophysiology

Advanced Science, EarlyView.
Ultra‐flexible electrodes composed of single‐walled carbon nanotubes on a polymeric substrate exhibit excellent transparency, water resistance, and conformability to hairy surfaces. These non‐invasive nanofilms are easily pierced by trichomes, overcoming the structural barriers in plant electrophysiology.
Yusuke Hori, Tatsuhiro Horii, Shinji Masuda, Toshinori Fujie   +3 more
wiley   +1 more source

Enhancing Generative Class Incremental Learning Performance With a Model Forgetting Approach

IEEE Open Journal of Signal Processing
This study presents a novel approach to Generative Class Incremental Learning (GCIL) by introducing the forgetting mechanism, aimed at dynamically managing class information for better adaptation to streaming data.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama   +4 more
doaj   +1 more source

Continual Unsupervised Representation Learning

, 2019
NeurIPS ...
Rao, D, Visin, F, Rusu, AA, Teh, YW, Pascanu, R, Hadsell, R   +5 more
openaire   +3 more sources

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source