Results 321 to 330 of about 5,010,243 (401)

IDAC-Dose 2.2, an internal dosimetry software for diagnostic nuclear medicine based on the latest ICRP adult and paediatric reference computational phantoms. [PDF]

EJNMMI Phys
Andersson M, Eckerman K, Mattsson S.
europepmc   +1 more source

Alleviation of Aging‐Related Hallmarks in a Mouse Model of Progeria via a Nanoparticle‐Based Artificial Transcription Factor

Advanced Functional Materials, EarlyView.
Oct4‐nanoscript, a biomimetic nanoparticle‐based artificial transcription factor, precisely regulates cellular rejuvenation by activating Oct4 target genes, restoring epigenetic marks, and reducing DNA damage. In a progeria model, it effectively rescued aging‐associated pathologies and extended lifespan.
Hongwon Kim, Junyeop Kim, Euiyeon Lee, Brandon Conklin, Yannan Hou, Sumin Kim, Yerim Hwang, Ki‐Bum Lee, Jongpil Kim   +8 more
wiley   +1 more source

Innovations in Nuclear Medicine Imaging for Reactive Oxygen Species: Applications and Radiopharmaceuticals. [PDF]

Antioxidants (Basel)
Park JY, Park SM, Lee TS, Lee SJ, Kim JY, Oh SJ, Yoon HJ, Kim BS, Moon BS.   +8 more
europepmc   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Advances in multimodal imaging for adrenal gland disorders: integrating CT, MRI, and nuclear medicine. [PDF]

Jpn J Radiol
Yokoyama K, Matsuki M, Isozaki T, Ito K, Imokawa T, Ozawa A, Kimura K, Tsuchiya J, Tateishi U.   +8 more
europepmc   +1 more source

Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films

Advanced Functional Materials, EarlyView.
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli, Felix Pino, Laura Basiricò, Giulia Napolitano, Jessica Carolina Delgado, Sara Cepić, Andrea Ciavatti, Sandra Moretto, Gianluigi Maggioni, Marco Cinausero, Sara Maria Carturan, Beatrice Fraboni   +11 more
wiley   +1 more source

The effects of 'small private online course + flipped classroom' teaching on job competency of nuclear medicine training trainees. [PDF]

BMC Med Educ
Wang H, Zhang W, Kong W, Zhang G, Pu H, Wang Y, Ye LW, Shang L.   +7 more
europepmc   +1 more source

Plasma‐Treated Hydrogel for Combined RONS and Chemotherapy Delivery: A Proof‐of‐Concept In Ovo

Advanced Functional Materials, EarlyView.
This study explores plasma‐treated hydrogels (PTH) as a new way to deliver both reactive oxygen and nitrogen species and chemotherapy (Doxorubicin) directly to tumors. In ovo tests show effects after a single dose, especially in osteosarcoma tumors. Tumor weight decrease, and a resistance‐related protein is reduced.
Milica Živanić, Albert Espona‐Noguera, Angela Privat Maldonado, Patrik Matušů, Francesco Tampieri, Maria‐Pau Ginebra, Abraham Lin, Evelien Smits, Annemie Bogaerts, Cristina Canal   +9 more
wiley   +1 more source

National Monitoring and Analysis of Internal Exposure of Nuclear Medicine Workers in ¹³¹I Treatment - China, 2021-2023. [PDF]

China CDC Wkly
Li X, Liu J, Tuo F, Chen W, Zhang J, Wang S, Sun Q.   +6 more
europepmc   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source