Results 151 to 160 of about 135,232 (227)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

From detection to grading: A hybrid KOA-YOLOv5-RF model for knee osteoarthritis diagnosis. [PDF]

MethodsX
Perumalsamy M, Govindarajan P, Bran R, Kp AK, Jyothi NV, Batumalay M.   +5 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Unicorn: enhancing single-cell Hi-C data with blind super-resolution for 3D genome structure reconstruction. [PDF]

Bioinformatics
Chandrashekar MKB, Menon R, Olowofila S, Oluwadare O.   +3 more
europepmc   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

Advanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo, Wei Wang, Hong Zhao, Ruiqin Zhang, Walid A. Daoud   +4 more
wiley   +1 more source

Deep learning-based bone removal in head and neck computed tomography angiography: a comparative study with conventional algorithms. [PDF]

Quant Imaging Med Surg
Gao J, Zhang Y, Shao B, Li L, Liu J.
europepmc   +1 more source

CapBuild: a cloud-native tool for adeno-associated virus capsid engineering. [PDF]

Nucleic Acids Res
Klein AH, Kuiper MJ, Burgess M, Wickramarachchi A, Jain Y, Bauer DC, Wilson L.   +6 more
europepmc   +1 more source

Runge-kutta method inspired aerial image dehazing network in YUV space. [PDF]

Sci Rep
Si Y, Chen J, Rao W, Li C.
europepmc   +1 more source

Virtual 3D surface imaging system for the validation of tumor tracking algorithm used in surface-guided radiotherapy. [PDF]

J Appl Clin Med Phys
Wu X, Wei Z, Zhai S, Zhang Y, Liu Z, Jiang T, Zhang L, Qian J.   +7 more
europepmc   +1 more source