A collaborative multi-party encryption for mitigating man-in-the-middle attacks in smart grid and energy IoT systems. [PDF]
Alfawair M.
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Secure electronic health record access control via blockchain, dual-attribute encryption, and large language model-based attribute extraction. [PDF]
Nekouie A +3 more
europepmc +1 more source
HSP90α is significantly upregulated in platelets from sepsis patients, with its origin from megakaryocyte‐derived trafficking. Furthermore, activated platelets secrete HSP90α into the extracellular space in both free and exosome‐associated forms. Finally, extracellular HSP90α directly engages TLR4 on neutrophils to induce autophagy, leading to NET ...
Chengbo Wang +17 more
wiley +1 more source
An innovative framework for secure data transmission using machine learning based classification and ElGamal encryption with Ramanujan primes. [PDF]
Haritha N, Narayanan V, Srikanth R.
europepmc +1 more source
openaire +2 more sources
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 +5 more
wiley +1 more source
Design of a multi-layered privacy-preserving architecture for secure medical data exchange in cloud environments. [PDF]
Muthuvel S, Priya S, Sampath Kumar K.
europepmc +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
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 +15 more
wiley +1 more source
A Post-Quantum Secure RFID Authentication Protocol Based on NTRU Encryption Algorithm. [PDF]
Liu H, Wu H, Ge N, Dong Q.
europepmc +1 more source

