Results 91 to 100 of about 48,962 (256)

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Clinical translation of novel therapies can be hindered by heterogeneity‐driven sample size inflation in late‐stage trials. In acetaminophen‐induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy signals.
Chris Humphries, Alastair M. Kilpatrick, Kathleen M. Scullion, Rhona Aird, Lorraine Bruce, Maria Elena Candela, Tak Yung Man, Stuart J. Forbes, James W. Dear   +8 more
wiley   +1 more source

Time‐Dependent Bias and Prognostic Confounding in Exposure–Response Analysis of Targeted Therapies: Lessons from Sunitinib in Metastatic Renal Cancer

Clinical Pharmacology &Therapeutics, EarlyView.
Exposure–response (E–R) analyses of sunitinib in metastatic renal cell carcinoma (mRCC) have supported concentration‐guided dose escalation. However, such analyses may be biased when exposure metrics incorporate post‐baseline dose modifications, time‐varying apparent clearance, or baseline factors that influence both pharmacokinetics and clinical ...
Han Liu, Lena E. Friberg
wiley   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

Exercise limitations in amyloid cardiomyopathy assessed by cardiopulmonary exercise testing—A multicentre study

ESC Heart Failure, Volume 12, Issue 2, Page 1326-1335, April 2025.
Abstract Aims Amyloid cardiomyopathy is caused by the deposition of light chain (AL) or transthyretin amyloid (ATTR) fibrils, that leads to a restrictive cardiomyopathy, often resulting in heart failure (HF) with preserved or reduced ejection fraction.
Robin Willixhofer, Mauro Contini, Michele Emdin, Damiano Magrì, Alice Bonomi, Elisabetta Salvioni, Fabrizio Celeste, Alberico Del Torto, Claudio Passino, Christophe D.J. Capelle, Chiara Arzilli, Emiliano Fiori, Nicolò Capra, Christina Kronberger, Nikita Ermolaev, Andreas Kammerlander, Beatrice Musumeci, Giuseppe Vergaro, Vincenzo Castiglione, René Rettl, Giacomo Tini, Andrea Baggiano, Iacopo Fabiani, Susanna Sciomer, Roza Badr Eslam, Piergiuseppe Agostoni   +25 more
wiley   +1 more source

Augmented Semi-naive Bayes Classifier

, 2013
The naive Bayes is a competitive classifier that makes strong conditional independence assumptions. Its accuracy can be improved by relaxing these assumptions. One classifier which does that is the semi-naive Bayes. The state-of-the-art algorithm for learning a semi-naïve Bayes from data is the backward sequential elimination and joining (BSEJ ...
Mihaljevic, Bojan, Larrañaga Múgica, Pedro María, Bielza Lozoya, María Concepción   +2 more
openaire   +2 more sources

Harnessing Diversity: Majority‐Group Acculturation Predicts Creativity and Flourishing Over Time

European Journal of Social Psychology, EarlyView.
ABSTRACT Creativity and flourishing are core aims of higher education (HE) institutions and government initiatives globally. Large‐scale projects have linked creativity and flourishing with cultural diversity, yet their associations with majority‐group acculturation (i.e., how members of dominant culture groups adopt minority‐cultural elements and/or ...
David Colledge, K. Addington‐Lefringhausen, D. Dauber, Y. Zhu, K. H. Kim, N. Ferenczi, J. R. Kunst, T. C. Marshall, H. Zagefka, M. Cristea   +9 more
wiley   +1 more source

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

Comparative Analysis of KNN and Neavy Bayes Algorithms in Socio-Economic Data Classification in Indonesia

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
The global economy continues to recover as trade flows, employment, and incomes improve. However, the economic recovery is uneven across countries and business sectors.
Kiki Buhori, Andrianingsih
doaj   +1 more source

MXene‐Induced Selective Ion Separation in Capacitive Deionization: Bridging Fundamentals With Frontier Innovations

Electron, EarlyView.
This review presents an in‐depth analysis of employing the MXenes electrodes in advancing ion‐selective capacitive deionization technologies, by exploring various strategies to achieve the desired selectivity. It highlights the critical challenges that hinder scalability and practical implementation. The review showcases the future opportunities toward
Rahat Alam, Linda Zou, Louis C. P. M. de Smet, Constantinos V. Chrysikopoulos   +3 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source