Results 101 to 110 of about 5,607,953 (307)

Retracted: Differentially Private Singular Value Decomposition for Training Support Vector Machines. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

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

Research productivity and training support for doctoral students in the biological and biomedical sciences. [PDF]

FASEB Bioadv, 2023
Schaller MD.
europepmc   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Deep Features for Training Support Vector Machines. [PDF]

J Imaging, 2021
Nanni L, Ghidoni S, Brahnam S.
europepmc   +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

Decreased cold‐sensing function of the transient receptor potential channel TRPM8 from tailed amphibians

FEBS Open Bio, EarlyView.
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao, Daiki Kobayashi, Shogo Hori, Osamu Saitoh   +3 more
wiley   +1 more source

TRANSMIT: Training Research and Applications Network to Support the Mitigation of Ionospheric Threats [PDF]

, 2011
TRANSMIT is an initiative funded by the European Commission through a Marie Curie Initial Training Network (ITN). Main aim of such networks is to improve the career perspectives of researchers who are in the first five years of their research career in ...
Aquino, M., Beniguel, Y., De Franceschi, G., Dodson, A., Dovis, Fabio, Forte, B., Galas, R., Jakowski, N., Kos, T., Mitchell, C.N., Notarpietro, Riccardo, Wernik, A.W.   +11 more
core  

DPWSS: differentially private working set selection for training support vector machines. [PDF]

PeerJ Comput Sci, 2021
Sun Z, Yang J, Li X, Zhang J.
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