Results 181 to 190 of about 787,887 (241)

Does fat infiltration of the rotator cuff muscles contribute to increased hidden blood loss (HBL) and other risk factors during arthroscopic rotator cuff repair for rotator cuff injuries? [PDF]

BMC Musculoskelet Disord
Sun Z, Gao S, Meng F, Zhang Y, Li W.
europepmc   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Predictors of a Depression Indicator in a Large Public Dataset: Logistic Regression and Neural Network Comparison. [PDF]

Med Arch
Yamani IAJ, Alnaimi IA, Alkhatib AJ.
europepmc   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Deep generative hidden Markov models for synthetic patient data generation: a novel approach for medical AI research. [PDF]

BMC Med Inform Decis Mak
Momenzadeh M, Oshaghi A.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

From Experiments to AI: A Comparative Review of Machine Learning Approaches for Predicting Nanofluid Thermophysical Properties. [PDF]

Nanomaterials (Basel)
Al Jadidi S, Moolya R, Padidhapu R, Subramanian S, Moolya S.   +4 more
europepmc   +1 more source

Carboranyl‐Curcuminoids for the Neutron Capture‐Based Treatment of Amyloid Aggregates in Alzheimer's Disease

Advanced Science, EarlyView.
The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci, Stefano Parisotto, Diego Alberti, Alberto Lanfranco, Valeria Bitonto, Polyssena Renzi, Martina Salmi, Federica Dal Bello, Katiuscia Pagano, Laura Ragona, Nicoletta Protti, Annamaria Deagostino, Simonetta Geninatti Crich   +12 more
wiley   +1 more source

Perioperative Factors Associated With Allogeneic Blood Transfusion in Elective THA. [PDF]

Orthop Surg
Ramadanov N, Fuchs D, Heinz M, Prill R, Becker R.   +4 more
europepmc   +1 more source

Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation

Advanced Science, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy, Zoe L. Chau, Sheng‐You Chen, Nanami Fujisawa, John J. Hill, Barnett M. Hsu, Joanne K. Liu, Karol W. Mai, James J. Lai   +8 more
wiley   +1 more source