Results 151 to 160 of about 57,409 (264)

Paediatric development of radiopharmaceutical imaging agents and radioligand therapeutics

British Journal of Clinical Pharmacology, EarlyView.
Abstract This review focuses on the development of radiopharmaceutical imaging agents and radioligand therapeutics for paediatric use. Nuclear medicine plays an important role in the diagnosis and treatment of various childhood conditions, including cancers, infections and brain disorders.
Justin L. Hay, Amandine Manon, Hunter Stephens, S. Y. Amy Cheung, Bart de Keizer, Erik T. te Beek   +5 more
wiley   +1 more source

SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data. [PDF]

NPJ Syst Biol Appl
Saldanha OL, Goepp V, Pfeiffer K, Kim H, Zhu JF, Kramann R, Hayat S, Kather JN.   +7 more
europepmc   +1 more source

Digital diagnostics, biomarkers and therapeutics in an evolving healthcare system: From promise to practice

British Journal of Clinical Pharmacology, EarlyView.
Abstract Health care is shifting towards a digital‐guided system, integrating digital diagnostics, biomarkers and therapeutics in many care pathways. However, despite rapid technological advancement and preliminary adoption accelerated by the COVID‐19 pandemic, a significant implementation gap persists. This narrative review explores the causes of this
Mees H. P. Stoop, Gertjan J. A. Driessen, Adam F. Cohen, Matthijs D. Kruizinga   +3 more
wiley   +1 more source

Association between cold spells and chronic lung disease: a nationwide spatial machine learning analysis. [PDF]

Front Med (Lausanne)
Chen XR, Liu CT.
europepmc   +1 more source

Active surveillance of drug safety in healthcare data: Sequential monitoring of bacterial and serious urinary tract infection risk in sodium‐glucose cotransporter 2 inhibitor users

British Journal of Clinical Pharmacology, EarlyView.
Abstract Introduction Active surveillance of adverse events using healthcare data is emerging as complementary to the monitoring of spontaneous reports and stand‐alone pharmacoepidemiologic studies. The risk of urinary tract infections (UTIs) was listed as a special warning for sodium‐glucose cotransporter‐2 inhibitors (SGLT2is) when marketed in Europe
Haoxin Le, Dilsad Simay Peker, Lukas Frederic Westphal, Nikolai Brun, Christine Erikstrup Hallgreen, Morten Andersen   +5 more
wiley   +1 more source

Integrated analysis and validation of metabolism-related genes in lung transplantation-induced cold ischemia/ reperfusion injury. [PDF]

PeerJ
Zhu L, Ding J, Wei D, Chen J.
europepmc   +1 more source

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes

Biotechnology and Bioengineering, EarlyView.
Human pluripotent stem cells were differentiated to cTnT+ cardiomyocytes and imaged throughout the process using phase contrast. We predicted differentiation efficiency (cTnT+ area) from phase contrast and compared model performance with a live‐cell cTnT‐GFP reporter.
Austin K. Feeney, Yaniv Ovadia, Aaron D. Simmons, Christian Elabd, Claire J. Peplinski, Frank Li, Sean P. Palecek   +6 more
wiley   +1 more source

The Top 12 Most Impactful Papers in Clinical Transplantation in 2025: TI Editors' Choice. [PDF]

Transpl Int
Berney T, Becchetti C, Bellini MI, Benning L, Berishvili E, Bestard O, Bos S, Brouard S, Casiraghi F, Citro A, Couzi L, Jimenez-Blanco M, Kervella D, Lim WH, Manuel O, Pilat N, Schneeberger S, Seizilles de Mazancourt E, Selzner N, Thaunat O, Toso C, Trizzino A, Yahav D, Zajacova A.   +23 more
europepmc   +1 more source

Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy

BMEMat, EarlyView.
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim, Hak Yong Kim, Ja Hoon Koo, Gi Doo Cha, Dae‐Hyeong Kim, Hye Jin Kim   +5 more
wiley   +1 more source

Machine learning-based risk of pulmonary embolism in stroke patients with lower extremity deep vein thrombosis construction and validation of a prediction model. [PDF]

Front Neurol
Wu L, Yefangxin L, Liu R, Chen W, Shi W, Qin Q, Lu D, Sheng J.   +7 more
europepmc   +1 more source