Results 101 to 110 of about 48,693 (258)

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology

Advanced Science, EarlyView.
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto, Tristan Dellazizzo Toth, Silvano Bond, Alexander Schmitz, Rim Diab, Sara Y. Ngo Tenlep, Brian Mooney, Silvia Erni, Martina Schobesberger, Olivier Scheidegger, Camille Peitsch, Smita Saxena   +11 more
wiley   +1 more source

Privacy-Preserving Emotion Detection: Evaluating the Trade-Off Between K-Anonymity and Model Performance

IEEE Access
In the realm of artificial intelligence, the pursuit of enhanced model performance has often prioritized the exponential growth of training data, sometimes relegating concerns about data privacy.
Alejandro de Leon Langure, Mahdi Zareei
doaj   +1 more source

Estimating the success of re-identifications in incomplete datasets using generative models

Nature Communications, 2019
Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on the
Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye   +2 more
doaj   +1 more source

Allogeneic Immune Cell Perfusion Inhibits the Growth of Vascularized 3D In Vitro Tumor Models, Induces Vascular Regression and Desmoplasia, but Promotes Tumor Cell Invasion

Advanced Science, EarlyView.
This study presents a vascularized 3D tumor model to investigate immune–stromal–tumor interactions under allogeneic PBMC perfusion. While immune cells induced tumor shrinkage, they also promoted vascular regression, stromal activation, and cancer cell invasion.
Alexandra Raab, Rasika Daware, Marcelo A. Szymanski de Toledo, Oskar Weber, Dimitris Kapsokalyvas, Twan Lammers, Horst Fischer, Federica De Lorenzi, Fabian Kiessling   +8 more
wiley   +1 more source

Crowdsourced data leaking user's privacy while using anonymization technique

Mehran University Research Journal of Engineering and Technology
Due to the tremendous value embedded in big educational data, numerous research institutes have collected large volumes of student behavioral data. To fully utilize the underlying values, the collected data may be shared with third parties, such as ...
Naadiya Mirbahar Mirbahar, Kamlesh Kumar, Asif Ali Laghari, Mansoor Ahmed Khuhro   +3 more
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Anonymous

, 2023
Anonymous
openaire   +1 more source

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