Results 191 to 200 of about 20,099 (258)

Harnessing artificial intelligence for genomic variant prediction: advances, challenges, and future directions. [PDF]

Gigascience
Pakpahan I, Sihombing M, Liu H, Wang M, Su Z, Fang M.   +5 more
europepmc   +1 more source

Automating Vascular Biology: An End‐to‐End Automated Workflow for High‐Throughput Blood Vessel‐on‐a‐Chip Production and Multi‐Site Validation

Advanced Healthcare Materials, EarlyView.
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin, Hanieh Mohammad Hashemi, Kimia Asadi Jozani, Anushree Chakravarty, Sonya Kouthouridis, Jessica Bonanno, Nicky Anvari, Shravanthi Rajasekar, Feng Zhang, Richard Y. Cheng, Narendra Kumar Singh, Luis Miguel Medina, Marc Durante, Yufang He, Boyang Zhang   +14 more
wiley   +1 more source

ASD: antigen-specific antibody database. [PDF]

MAbs
Czerwiński A, Dudzic P, Wójtowicz K, Jaszczyszyn I, Bielska W, Wrobel S, Demharter S, Spreafico R, Greiff V, Krawczyk K.   +9 more
europepmc   +1 more source

Purpose‐Adaptable Reinforced 3D Hyaluronic‐Acid Based Platform to Study Pathomechanisms of the Central Nervous System

Advanced Healthcare Materials, EarlyView.
Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu, Esra Tuerker, Anna‐Lena Wiessler, Jessica Faber, Ievgenii Liashenko, Jeanette Weigelt, Jörg Tessmar, Paul D. Dalton, Sibylle Jablonka, Mateo S. Andrade Mier, Carmen Villmann, Silvia Budday, Natascha Schaefer   +12 more
wiley   +1 more source

Multi-feature fusion for gene prediction and functional peptide identification. [PDF]

Front Microbiol
Ma C, Wei Q, Wang G, Miao Y, Yuan L.
europepmc   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

CURENet: combining unified representations for efficient chronic disease prediction. [PDF]

Health Inf Sci Syst
Dao CT, Phan NMT, Ding JE, Wu C, Restrepo D, Luo D, Zhao F, Liao CC, Peng WC, Wang CT, Chen PF, Chen L, Ju X, Liu F, Hung FM.   +14 more
europepmc   +1 more source

ProjFusNet: deep neural network for peptide precursor prediction using projection-fused protein language model and structural features. [PDF]

J Cheminform
Li J, Fang F, Lin C, Shi H, Cui F, Zhang Z, Wei L.   +6 more
europepmc   +1 more source

Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson's disease. [PDF]

World J Psychiatry
Liao S, Tang JW, Li Y.
europepmc   +1 more source