216 results found

Fatemeh Abdi, Nasibeh Roozbeh, Fatemeh Darsareh, Vahid Mehrnoush, Ali Haghighat, Anna Nami, Farideh Montazeri, Mojdeh Banaei

Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...

Research Square 2026-04-23 rs-9292292
preeclampsia machine learning artificia inteligince random forest

Vaishali Chaurasiya, Luyang Li, Aina Lluch, Ana Fernández-Sánchez, Jukka Harju, Dan Duc Pham, Sanni Perttunen, Salla Keskitalo, Markku Varjosalo, Kirsi H. Pietiläinen, P.A. Nidhina Haridas, José-Maria Moreno-Navarrete, José I. Rodríguez-Hermosa, Encarna Piedrafita-Serra, Asha Kar, Päivi Pajukanta, Markku Laakso, Ville Männistö, Jussi Pihlajamäki, Minna U. Kaikkonen, Gema Frühbeck, Oriol A. Rangel-Zúñiga, Francisco José Tinahones, Carlos Dieguez, Ralph Burkhardt, Marcus Höring, Gerhard Liebisch, Johanna Pörschke, María Gómez-Serrano, Johannes Graumann, Witold Szymanski, José-Manuel Fernández-Real, You Zhou, Vesa Olkkonen, Francisco Ortega

Obesity-related metabolic disease is linked to impaired adipose tissue function, but the underlying molecular programs are difficult to assign to specific adipose-resident cell types, to mechanistical...

Research Square 2026-04-23 rs-9485802
Adipose tissue adipocyte endothelial cell proteomics lipidomics meta-inflammation obesity weight loss

Wendy Nieto-Gutierrez, Melixa Medina-Aedo, M Soledad Isern Val

Background This review identifies and describes clinical prioritisation tools used to rank patients on surgical waiting lists for cataract surgery, knee replacement, and inguinal hernia repair, and ev...

Research Square 2026-04-23 rs-9447805
waiting lists cataract extraction arthroplasty replacement knee herniorrhaphy (source: MeSH)

Lucas Garcia Martins, Breno Carvalho Silva, Yuri A. S. Rocha, Fernanda C. Jerônimo, Wagner C. R. Santos, Alex G. C. M. Klautau, Mariana Tolentino

Bottlenose dolphins (Tursiops truncatus) frequently interact with fisheries worldwide, yet their fine-scale behavioral responses to fishing fleets remain poorly documented in tropical continental shel...

Marine Biology 2026-04-23 rs-9328548
Amazon Continental Shelf bottlenose dolphin behavior fishing fleet interactions opportunistic feeding locomotion and aerial displays human–wildlife interactions

Arthur Berger, Guillaume Pere, Anna Sebbagh, Matthieu Bruzzi, Amaury D'Angelo, Hadrien Alric, Thomas Viel, Irami Araújo-Filho, Marion Marty, Corinne Lesaffre, Chloé Broudin, Leila M'Harzi, Guillaume Perrod, Elise Madec, Florence Gazeau, Bertrand Tavitian, Amanda Silva Brun, Gabriel Rahmi

Background: Gastrocutaneous fistulae following sleeve gastrectomy represent a serious complication associated with prolonged and complex management. To explore innovative therapeutic options, we aimed...

Obesity Surgery 2026-04-23 rs-9139067

Antonio A. Chaves, Mauricio G.C. Resende, Carise E. Schmidt, J. Kyle Brubaker, Helmut G. Katzgraber, Martin J.A. Schuetz

Mixed-Integer Programs (MIPs) are NP-hard optimization models that arise in a broad range of decision-making applications, including finance, logistics, energy systems, and network design. Although mo...

Research Square 2026-04-23 rs-9390292
Mixed-Integer Programs Heuristic Random-Key Optimization

A Roshan, V Dwaraknath, Mohana D. C, J Gireesha, J Vidya, Mahendra C

Multidrug-resistant (MDR) pathogens and mycotoxin contamination in food systems require safe and sustainable antimicrobial strategies. Although plant essential oils possess strong antimicrobial proper...

In Silico Pharmacology 2026-04-23 rs-9214856
Davanone Chitosan nanoparticles Nanoencapsulation Antimicrobial activity Aflatoxin B1 Fumonisin B1 Molecular docking

Gordan Lauc, Anika Mijakovac, Elena Butz, Frano Vuckovic, Azra Frkatović-Hodžić, Domagoj Kifer, Helena Deris, Barbara Radovani, Fran Lukšić, Ana Cindric, Ivan Gudelj, Nina Šimunić Briški, Goran Josipović, Zehra Stara Yuksel, Jasmina Ćatić, Fran Šaler, Janko Szavits-Nossan, Charlotte Hedin, Jelena Šimunović, Iwona Borošak, Jasminka Kristic, Sara Monteiro-Martins, Tea Pribić, Maja Hanić, Maja Pučić-Baković, Irena Trbojević-Akmačić, Tamara Štambuk, Jerko Štambuk, Marina Martinić Kavur, Matko Fančović, Ana cvetko, Marija Pezer, Ozren Polašek, Olga Gornik, Dobri Kiprov, Eric Verdin, Brad Younggren, Louise Newson, Cristina Menni, Claire Steves, Tim Spector, Jonas Halfvarsson, Ewa Pochec, Marta Zabczynska, Mirjana Turkalj, James Wilson, Marta Alarcon-Riquelme, Konrad Aden, Philip Rosenstiel, Andre Franke, Norbert Frey, Stefan Schreiber, Ellen Blaak, Anna Köttgen, Vlatka Zoldoš, Dragan Primorac, Damir Marjanović, Ulla Schultheiss, Wei Wang, Borna Rapčan

Glycosylation is a key structural modification of immunoglobulin G (IgG) that modulates its effector functions and has multiple roles in balancing inflammation. Altered IgG glycosylation has been repo...

Research Square 2026-04-23 rs-9488315
IgG glycome alternative glycosylation aging glycan age disease mortality biomarker inflammation

Anja Viehmann, Natalia Wege, Verena Leve, Frank Jacobi, Martina Hahn, Walter Hewer, Julia K. Wolff, Frank Schneider, Catharina Scholl, Stefan Wilm, Andrea Icks

Background: Individuals with severe mental illness (SMI) have an increased risk for physical comorbidities, such as diabetes and cardiovascular disease, leading to reduced life expectancy. The oversha...

Research Square 2026-04-23 rs-9488151
PSY-KOMO study protocol intervention study severe mental illness physical comorbidity quality of treatment patient navigator

Du Nguyen Duy, Ramin Nikzad-Langerodi, Josef Scharinger, Michael Affenzeller

In modern manufacturing value chains, achieving optimal product quality and sustainability necessitates collaboration across interconnected stakeholders. Conventional Latent Variable Model Inversion (...

Discover Artificial Intelligence 2026-04-23 rs-9243934
Cross-organizational Process Optimization Partial Least Squares Cooperative Coevolution Genetic Algorithm Vertical Federated Learning Latent Variable Model Inversion
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