Results 101 to 110 of about 1,653,373 (307)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Development, implementation, and dissemination of operational innovations across the trial innovation network. [PDF]

J Clin Transl Sci, 2023
Palm ME, Edwards TL, Wieber C, Kay MT, Marion E, Boone L, Nanni A, Jones M, Pham E, Hildreth M, Lane K, McBee N, Benjamin DK, Bernard GR, Dean JM, Dwyer JP, Ford DE, Hanley DF, Harris PA, Wilkins CH, Selker HP.   +20 more
europepmc   +1 more source

Innovation network building in the Hungarian region of South Transdanubia [PDF]

The economic attraction of the regions depends on the spatially balanced network-based co-operation of different research bases, SMEs and organisations involved in innovation development these days.
Gál, Zoltán
core  

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

The Trial Innovation Network Liaison Team: building a national clinical and translational community of practice. [PDF]

J Clin Transl Sci, 2023
Palm ME, Thompson DD, Edwards T, Swartz K, Herzog KA, Bansal S, Echalier B, DeHart KC, Denmark S, Wilson JL, Nelson S, Waddy SP, Dunsmore SE, Atkinson JC, Wiley K, Hassani S, Dwyer JP, Hanley DF, Dean JM, Ford DE.   +19 more
europepmc   +1 more source

STRATEGIC FRAMEWORK OF SYSTEMIC INTERDEPENDENCE DEVELOPMENT IN HIGH-TECH SECTORS: CLUSTER-NETWORK APPROACH

Економіка та право, 2018
In current conditions the national security increasingly depends on the processes of development and transfer of high techno logies that affect the level of its socio-economic development and are determined by the effectiveness of identifying innovative ...
O.Yu. Kudrina, V.A. Omelyanenko
doaj   +1 more source

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

FEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu, Lanlan Li, Wenjuan Jia, Hanzhong Feng, Xiaoquan Yu, Youli Zhao, Fengzhi Yuan, Hui Ding, Junqiang Tian, Yong‐Xing He, Zhiping Wang   +10 more
wiley   +1 more source

Innovation network, knowledge absorption ability, and technology innovation performance--An empirical analysis of China's intelligent manufacturing industry. [PDF]

PLoS One, 2023
Wang Y, Zhou Y.
europepmc   +1 more source

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

Decentralized clinical trials in the trial innovation network: Value, strategies, and lessons learned. [PDF]

J Clin Transl Sci, 2023
Hanley DF, Bernard GR, Wilkins CH, Selker HP, Dwyer JP, Dean JM, Benjamin DK, Dunsmore SE, Waddy SP, Wiley KL, Palm ME, Mould WA, Ford DF, Burr JS, Huvane J, Lane K, Poole L, Edwards TL, Kennedy N, Boone LR, Bell J, Serdoz E, Byrne LM, Harris PA.   +23 more
europepmc   +1 more source