Results 51 to 60 of about 19,213,336 (427)

Long-acting growth hormones: innovations in treatment and guidance on patient selection in pediatric growth hormone deficiency [PDF]

Annals of Pediatric Endocrinology & Metabolism
Long-acting growth hormones (LAGHs) represent a significant advancement in the treatment of pediatric GH deficiency, offering an alternative to daily recombinant human GH (rhGH) therapy.
Chiara Rodaro, Gianluca Tamaro, Elena Faleschini, Gianluca Tornese   +3 more
doaj   +1 more source

Optimizing patient selection for stereotactic ablative radiotherapy in patients with locally advanced pancreatic cancer after initial chemotherapy - a single center prospective cohort

Frontiers in Oncology, 2023
BackgroundThe role of stereotactic ablative radiation therapy (SABR) as local treatment option after chemotherapy for locally advanced pancreatic cancer (LAPC) is evolving.
D. Doppenberg, D. Doppenberg, D. Doppenberg, F. J. Lagerwaard, F. J. Lagerwaard, S. van Dieren, M. R. Meijerink, M. R. Meijerink, J. J. van der Vliet, J. J. van der Vliet, J. J. van der Vliet, M. G. Besselink, M. G. Besselink, G. van Tienhoven, G. van Tienhoven, E. Versteijne, E. Versteijne, B. J. Slotman, B. J. Slotman, J. W. Wilmink, J. W. Wilmink, G. Kazemier, G. Kazemier, A. M. E. Bruynzeel, A. M. E. Bruynzeel   +24 more
doaj   +1 more source

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine [PDF]

arXiv, 2023
Precision medicine tailored to individual patients has gained significant attention in recent times. Machine learning techniques are now employed to process personalized data from various sources, including images, genetics, and assessments. These techniques have demonstrated good outcomes in many clinical prediction tasks.
arxiv  

Waiting Lists and Patient Selection [PDF]

Journal of Economics & Management Strategy, 2005
We develop a positive model of waiting lists for public hospitals when physicians are able to divert patients from the public to the private sector. Public treatment is free but rationed, i.e., only cases meeting some medical criteria are admitted. Private treatment has no waiting time but entails payment of a fee.
Pedro Pita Barros, Pau Olivella
openaire   +5 more sources

Patient Selection for Transarterial Chemoembolization in Hepatocellular Carcinoma: Importance of Benefit/Risk Assessment

Liver Cancer, 2018
Background: Liver cancer is the second most common cause of cancer-related death, with hepatocellular carcinoma (HCC) accounting for most primary liver cancers and most commonly arising from a history of advanced chronic liver disease.
F. Piscaglia, S. Ogasawara
semanticscholar   +1 more source

Dimethyl fumarate in the management of multiple sclerosis: Appropriate patient selection and special considerations [PDF]

, 2016
Delayed-release dimethyl fumarate (DMF), also known as gastroresistant DMF, is the most recently approved oral disease-modifying treatment (DMT) for relapsing multiple sclerosis. Two randomized clinical trials (Determination of the Efficacy and Safety of
Pontecorvo, Simona, Prosperini, Luca
core   +1 more source

Is There a Place for Somatostatin Analogues for the Systemic Treatment of Hepatocellular Carcinoma in the Immunotherapy Era?

Livers, 2022
Patients with advanced hepatocellular carcinoma (HCC) have a very limited survival rate even after the recent inclusion of kinase inhibitors or immune checkpoint inhibitors in the therapeutic armamentarium. A significant problem with the current proposed
Elias Kouroumalis, Ioannis Tsomidis, Argryro Voumvouraki   +2 more
doaj   +1 more source

Radiogenomics: the utility in patient selection [PDF]

Translational Cancer Research, 2017
The goal of radiation therapy (RT) is to deliver the therapeutic dose to target tissues minimizing the risks of normal tissue complication. Nowadays, technological advances in radiation delivery and the introduction of particle therapies have strongly limited the amount of dose distributed to normal tissues and enhanced the tumor killing capacity. Here,
Giusi Irma Forte, Luigi Minafra, Valentina Bravatà, Francesco Paolo Cammarata, Debora Lamia, Pietro Pisciotta, Giuseppe Antonio Pablo Cirrone, Giacomo Cuttone, Maria Carla Gilardi, Giorgio Russo   +9 more
openaire   +4 more sources

Prediction of Tissue Damage Using a User-Independent Machine Learning Algorithm vs. Tmax Threshold Maps

Clinical and Translational Neuroscience, 2021
(1) Background: To test the accuracy of a fully automated stroke tissue estimation algorithm (FASTER) to predict final lesion volumes in an independent dataset in patients with acute stroke; (2) Methods: Tissue-at-risk prediction was performed in 31 ...
Arsany Hakim, Benjamin Messerli, Raphael Meier, Tomas Dobrocky, Sebastian Bellwald, Simon Jung, Richard McKinley, Roland Wiest   +7 more
doaj   +1 more source

A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

Journal of the American Academy of Orthopaedic Surgeons, 2019
INTRODUCTION Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplasty ...
Dustin R. Biron, I. Sinha, J. Kleiner, D. Aluthge, A. Goodman, Indra Neil Sarkar, Eric M. Cohen, Alan H. Daniels   +7 more
semanticscholar   +1 more source