Results 121 to 130 of about 69,298 (248)

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová, Barbora Malíková, Václav Nežerka, Petr Holeček, Dana Koňáková, Hana Stiborová   +5 more
wiley   +1 more source

A Deep Learning Pipeline for Cell Segmentation and Viability Quantification in 3D Constructs From Fluorescence Microscopy Images

Microscopy Research and Technique, EarlyView.
3D bioprinting requires advanced methods for cell localization and viability assessment. We developed a hybrid and automated pipeline based on the U2‐Net architecture for the analysis of fluorescence microscopy images enabling cell segmentation and viability assessment.
Federica Valtellina, Francesco Iannacci, Bianca Maria Colosimo, Mattia Sponchioni   +3 more
wiley   +1 more source

Exosome crown proteins are promising markers for liquid biopsy of breast cancer. [PDF]

Front Oncol
Tamkovich S, Shefer A, Kalichkin A, Chernyshova A.   +3 more
europepmc   +1 more source

Comparison of machine learning methods for prediction of venous thromboembolism among hospitalized adults

Journal of Hospital Medicine, EarlyView.
Abstract Background Hospital‐acquired venous thromboembolism (HA‐VTE) is a significant cause of morbidity and mortality among hospitalized adults. Accurate prediction of HA‐VTE is crucial for timely intervention and prevention. While logistic regression is widely used for the development of clinical prediction models, there is ongoing interest in the ...
Yeji Ko, Benjamin French, Jonathan S. Schildcrout, Merna El‐Rifai, Adam Wright, Benjamin F. Tillman, Amanda S. Mixon, Henry J. Domenico   +7 more
wiley   +1 more source

The ADAM Family of Proteases: Structure, Substrates, and Roles in Liver Diseases. [PDF]

Int J Mol Sci
Chen Y, Zhou R, Zhao T, Xiang D, Gong X.
europepmc   +1 more source

Analysis of plant science higher education reveals mixed provision which falls short of delivering national priorities

JSFA reports, Volume 5, Issue 3, Page 78-90, March 2025.
Abstract Background Many reports from the UK government and other organisations highlight a need for a plant aware workforce, and some enumerate specific areas of plant science where there is a skills shortage. We have undertaken a systematic analysis of the content of degree programmes that advertise as teaching plant biology to determine if the UK ...
Sarah Trinder, Thomas Heaven, Matteo Luberti, Sophie Read, Adam Scanlon, Chris Gauntner, Alec Forsyth, Alison C. Foster   +7 more
wiley   +1 more source

Exploring epigenome-proteome interactions underlying post-surgical progression of non-functioning pituitary adenomas using hypernetwork modelling. [PDF]

J Transl Med
Suman M, Hallén T, Garner T, Thorsell A, Stevens A, Köster L, Carén H, Ragnarsson O, Skoglund T, Johannsson G.   +9 more
europepmc   +1 more source

Review of phytochemical and antioxidant properties of Ethiopian medicinal plants

JSFA reports, EarlyView.
Abstract Ethiopia possesses a rich ethnobotanical heritage and diverse medicinal flora that play an important role in traditional healthcare. Many Ethiopian medicinal plants contain bioactive phytochemicals with potential antioxidant properties. This capital of indigenous knowledge has contributed to the documentation of different medicinal plants that
Endalamaw Yihune, Amare Bitew Mekonnen, Getahun Yemata   +2 more
wiley   +1 more source

Molecular de-extinction looks to the past to find the molecules of the future. [PDF]

Proc Natl Acad Sci U S A
Adam D.
europepmc   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source