Results 211 to 220 of about 416,163 (244)

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

Advanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu, Ling Leng, Jie Ma   +7 more
wiley   +1 more source

Combination of radiomic and clinical characteristics to predict mortality in patients with colorectal perforation. [PDF]

Int J Colorectal Dis
Lin J, Li Z, Jiang W, Li Y, Zhu W, Yang S, Yang K.   +6 more
europepmc   +1 more source

From Single Sensors to Sensor Arrays: Leveraging Supervised Machine Learning to Read Multiple Soft Capacitive Sensors with a Single Pair of Wires

Advanced Intelligent Systems, EarlyView.
The study presents a method for detecting touch location and force magnitude on soft capacitive sensors without complex electrode patterning. Multifrequency impedance measurements are combined with machine learning to accurately classify five sensing zones and estimate applied force with low error.
Samuel Belk, Samuel Rosset, Iain Anderson, Masoumeh Hesam   +3 more
wiley   +1 more source

ibaqpy: A scalable Python package for baseline quantification in proteomics leveraging SDRF metadata

Zheng P, Audain E, Webel H, Dai C, Klein J, Hitz M, Sachsenberg T, Bai M, Perez-Riverol Y.   +8 more
europepmc   +1 more source

Leveraging Circular Polymerization and Extension Cloning (CPEC) Method for Construction of CRISPR Screening Libraries. [PDF]

Bio Protoc
Dayanc B, Eris S, Senturk S.
europepmc   +1 more source

Analysis of a Memcapacitor‐Based Online Learning Neural Network Accelerator Framework

Advanced Intelligent Systems, EarlyView.
This study introduces a novel CMOS‐based memcapacitor framework for efficient neuromorphic computing, achieving 98.4% accuracy on (MNIST) modified national institute of standards and technology and 85.9% on canadian institute for advanced research( CIFAR)‐10.
Ankur Singh, Dowon Kim, Byung‐Geun Lee
wiley   +1 more source

Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study. [PDF]

JMIR Infodemiology
Bayani A, Ayotte A, Nikiema JN.
europepmc   +1 more source

Personalized Kirigami Strain Sensors for in vivo Applications

Advanced Intelligent Systems, EarlyView.
Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You, Max Schober, Soufyane Ben‐Ayed, Sahab Babaee, Stephanie Owyang, Josh Jenkins, Peter R. Chai, Giovanni Traverso   +7 more
wiley   +1 more source

Zinc finger protein ZC3H18 is abnormally expressed in esophageal cancer tissues and facilitates the proliferation of esophageal cancer cells. [PDF]

Front Immunol
Zhang Y, Wan Y, Li J, Ju S, Tong X, Wu J, Wu H, Zhang L, Shao S, Wang Y, Guo L, Zhao J, Cao L, Jiang D.   +13 more
europepmc   +1 more source

Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin

Advanced Intelligent Systems, EarlyView.
This work presents a collision detection technique for robots, using piezoelectric sensors and deep learning to identify collision locations and intensities. A large area conformal kirigami design enables cost‐effective sensor deployment on complex surfaces.
Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu   +10 more
wiley   +1 more source