Results 41 to 50 of about 1,256,851 (285)

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

H-ViT: hardware-friendly post-training quantization for efficient vision transformer inference

Autonomous Intelligent Systems
Vision Transformers (ViTs) have achieved state-of-the-art performance on various computer vision tasks. However these models are memory-consuming and computation-intensive, making their deployment and efficient inference on edge devices challenging ...
Jing Liu, Jiaqi Lai, Xiaodong Deng, Caigui Jiang, Nanning Zheng   +4 more
doaj   +1 more source

Towards a New Science of a Clinical Data Intelligence [PDF]

, 2013
In this paper we define Clinical Data Intelligence as the analysis of data generated in the clinical routine with the goal of improving patient care. We define a science of a Clinical Data Intelligence as a data analysis that permits the derivation of ...
Budde, Klemens, Cavallaro, Alexander, Costa, Maria J., Daumke, Philipp, Fasching, Peter A., Ganslandt, Thomas, Hinrichs, Carl, Huang, Yi, Krompass, Denis, Oppelt, Patricia G., Reis, Andre, Schmidt, Danilo, Sedlmayr, Martin, Sonntag, Daniel, Tresp, Volker, Wittenberg, Thomas, Zillner, Sonja   +16 more
core  

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Large Scale MRI Collection and Segmentation of Cirrhotic Liver

Scientific Data
Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibrosis and nodular regeneration that significantly increases mortality risk.
Debesh Jha, Onkar Kishor Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Halil Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri Velichko, Daniela P. Ladner, Amir A. Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci   +16 more
doaj   +1 more source

New Results on Deterministic Networked Supervisory Control and Relative Delay Observability

IEEE Access, 2021
This paper considers supervisory control of discrete event systems with observation delays and control delays, which is termed deterministic networked supervisory control.
Yunfeng Hou, Yutao Chen, Qingdu Li, Yunfeng Ji   +3 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Partial Large Kernel CNNs for Efficient Super-Resolution

IEEE Access
Recently, in the image super-resolution (SR) domain, Transformers have outperformed Convolution Neural Networks (CNNs) with reduced computational complexity and parameters by modeling long-range dependencies input-dependently.
Dongheon Lee, Seokju Yun, Youngmin Ro
doaj   +1 more source

Heat Flux of a Transferred Arc Driven by a Transverse Magnetic Field

Advances in Materials Science and Engineering, 2009
Theoretical consideration of a magnetically driven arc was performed to elucidate the variation of heat flux with an imposed DC magnetic field. Experiments were conducted to confirm the validity of the theoretical model.
Naomi Matsumoto, Takashi Usami, Ikumi Kuno, Takeo Yamamoto, Masaya Sugimoto, Seiji Kumagai, Koichi Takeda   +6 more
doaj   +1 more source

Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology [PDF]

, 2013
Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society.
Ahuja, Piyush
core