Results 181 to 190 of about 47,521 (285)
Improving Equitable Cancer Treatment in Australia: The Case for Theranostics in the Northern Territory. [PDF]
Morigi JJ, McGavin S.
europepmc +1 more source
ABSTRACT Purpose To evaluate the safety and efficacy of neoadjuvant gemcitabine, cisplatin, and S‐1 (GCS) chemotherapy for resectable biliary tract cancer (BTC) and FDG‐PET‐positive lymph nodes in a multicenter phase II study (KHBO1201). Methods Patients with resectable BTC (intrahepatic/extrahepatic bile duct, gallbladder, or ampullary cancers) and ...
Satoshi Ogiso +9 more
wiley +1 more source
The Role of Artificial Intelligence in Theranostics. [PDF]
Currie GM, Rohren E.
europepmc +1 more source
Safety of MRI Examinations Under Sedation: A Nationwide Survey in Japan
ABSTRACT Background MRI is performed under sedation for patients requiring immobility or for those already sedated for clinical management. Although specialist guidelines advocate for anesthesiologist‐led care, non‐anesthesiologist‐led adult sedation is a common practice worldwide. Furthermore, the increase in risk attributable to sedation has not been
Shiori Amemiya +5 more
wiley +1 more source
The SCARLET Trial: Radiotheranostics in Multiple Myeloma. [PDF]
Jain S, Graham MM.
europepmc +1 more source
Molecular theranostics: principles, challenges and controversies
Molecular theranostics offers a powerful tool to drive precision medicine in nuclear oncology. While theranostics is not a new principle in nuclear medicine, recent advances in instrumentation and radiopharmacy have driven a reinvigoration and a broader suite of applications.
Geoffrey Currie
wiley +1 more source
Lead radionuclides for theranostic applications in nuclear medicine: from atom to bedside. [PDF]
Berckmans Y +10 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
A Narrative Review of Theranostics in Neuro-Oncology: Advancing Brain Tumor Diagnosis and Treatment Through Nuclear Medicine and Artificial Intelligence. [PDF]
Christodoulou RC +6 more
europepmc +1 more source
Abstract Netherton syndrome (NS) is a rare, severe, and often life‐threatening disease for which current therapeutic approaches are limited and show variable effectiveness. NS is characterized by excessive epidermal desquamation that results in a highly defective epidermal barrier, constitutive skin inflammation, allergies, and hair abnormalities.
Eleni Zingkou +3 more
wiley +1 more source

