Results 161 to 170 of about 923,643 (274)

Confidence-calibrated federated graph attention for internet of things agents under latency SLOs. [PDF]

Sci Rep
Yang D, Liu B, Wan L, Dong Q.
europepmc   +1 more source

Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation‐Compatible Ti3C2Tx MXene Electrodes for Research and Clinical‐Grade Applications

Advanced Science, EarlyView.
Dry soft Ti3C2Tx MXene electroencephalography (EEG) electrodes provide low impedance (2.1 ± 1.8 kΩ at 10 Hz), long‐term stability, and enable safe simultaneous EEG and transcranial magnetic stimulation (TMS). Across scalp sites, hair types, and recording paradigms, including steady state visual evoked potentials (SSVEP), clinical EEG, and mobile EEG ...
Sneha Shankar, Jakob Michiels, Ksenija Tasich, Ashley Koluda, Ryan Rich, Brian Erickson, Eugenia Angelopoulos, Francesca Cimino, Daryl Hurwitz, Raghav Garg, Spencer R. Averbeck, Doris Xu, Mariam Josyula, Nina Petillo, James J. Gugger, Kathryn A. Davis, John Medaglia, Flavia Vitale   +17 more
wiley   +1 more source

Artificial intelligence in the diagnosis and prognosis of ocular trauma: a systematic review. [PDF]

BMC Ophthalmol
Dolatabadi ZA, Foodani MN, Farkhad MF, Golvardi-Yazdi F.   +3 more
europepmc   +1 more source

PDZK1‐ULK1 Axis Triggers Lipophagy to Inhibit Tumor Progression and Sunitinib Resistance in Clear Cell Renal Cell Carcinoma

Advanced Science, EarlyView.
This study reveals that PDZK1 loss impairs ULK1‐mediated lipophagy, driving lipid droplet accumulation and sunitinib resistance in clear cell renal cell carcinoma. PDZK1 inhibits LEF1 nuclear translocation, enhancing ULK1 transcription. Pharmacological ULK1 activation resensitizes resistant tumors to sunitinib.
Xuan Qi, Yu Guo, Yumeng Yang, Haibo Wang, Xiaomei Yang, Ran Song, Qiong Qin, Yan Zhang, Meihan Hu, Haixing Zhou, Duiping Feng, Junqi He   +11 more
wiley   +1 more source

Development and External Validation of Machine Learning Model to Predict Live Birth Following Assisted Reproductive Technology in Women with Ovarian Endometriomas: A Decision-Support Tool. [PDF]

Clin Epidemiol
Sun Y, Wang Z, Zhou J, Cui L, Wang H.
europepmc   +1 more source

Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices

Advanced Science, EarlyView.
This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee, Oliver James, Gaeun Jung, Doyun Lee, Yee‐Joon Kim   +4 more
wiley   +1 more source

Hybrid deep learning with protein language models and dual-path architecture for predicting IDP functions. [PDF]

Brief Bioinform
Liang J, Luo Y, Su B, Peng Z.
europepmc   +1 more source

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Advanced Science, EarlyView.
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez   +7 more
wiley   +1 more source

Prognostic Scoring Systems for Burns: A Comparative Analysis of Their Predictive Accuracies for Mortality in Burn Patients. [PDF]

Eur Burn J
Rein S, Schmiechen J, Gille J, Kremer T.
europepmc   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source