Results 321 to 330 of about 7,572,211 (397)

Respiratory virus mRNA vaccines: mRNA Design, clinical studies, and future challenges

Animal Models and Experimental Medicine, EarlyView.
Abstract Respiratory infectious diseases frequently erupt on a global scale, with RNA viruses, such as SARS‐CoV‐2, RSV, and influenza viruses, posing challenges to vaccine development due to their high mutation rates. Traditional vaccine development cycles are lengthy and struggle to keep pace with rapidly evolving viruses, whereas messenger RNA (mRNA)
Linlin Zheng, Han Feng
wiley   +1 more source

Comparison of the pathogenicity of multiple SARS‐CoV‐2 variants in mouse models

Animal Models and Experimental Medicine, EarlyView.
We assessed the pathogenicity of various SARS‐CoV‐2 variants using two distinct mouse models. Our findings indicated that earlier variants, including WH‐09, Beta, and Delta, exhibited greater pathogenicity than later variants. Specifically, the Omicron variant demonstrated reduced pathogenicity, characterized by a shorter disease course and diminished ...
Qi Lv, Ming Liu, Feifei Qi, Mingya Liu, Fengdi Li, Ran Deng, Xujian Liang, Yanfeng Xu, Zhiqi Song, Yiwei Yan, Shuyue Li, Guocui Mou, Linlin Bao   +12 more
wiley   +1 more source

Research advancements and evaluation of multifactor‐induced murine models for gastric cancer

Animal Models and Experimental Medicine, EarlyView.
Murine models for gastric cancer. Abstract As one of the most prevalent gastrointestinal malignancies in humans, gastric cancer (GC) is often detected at an advanced stage, resulting in a poor prognosis and ranking it the fifth leading cause of cancer‐related deaths.
Yiqing Wang, Liang Zhang, Weixu Feng, Wanfeng Liu, Xiangyang Xue, Shiyu Feng   +5 more
wiley   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice

Annals of Neurology, EarlyView.
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley   +1 more source

The Gaza health information system: Rebuilding for a resilient future. [PDF]

PLOS Glob Public Health
Yaghmaei N, Rood E, Arafeh A, Whaidi Z, Zeidan W, Spiegel PB, Baidjoe AY.   +6 more
europepmc   +1 more source

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service

Annals of Neurology, EarlyView.
Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley   +1 more source

Evaluation of a Sentinel Hypertension Surveillance System in Mojo, East Shewa Zone, Oromia, Ethiopia: Concurrently Embedded Mixed Design Study. [PDF]

Online J Public Health Inform
Demelash Gashe A, Ayale Ferede Y, Zenebe Weldemichael D, Yesuf Endries A.   +3 more
europepmc   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

Annals of Neurology, EarlyView.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley   +1 more source

Population-Based Active Surveillance for Culture-Confirmed Candidemia - 10 Sites, United States, 2017-2021. [PDF]

MMWR Surveill Summ
Jenkins EN, Gold JAW, Benedict K, Lockhart SR, Berkow EL, Dixon T, Shack SL, Witt LS, Harrison LH, Seopaul S, Correa MA, Fitzsimons M, Jabarkhyl Y, Barter D, Czaja CA, Johnston H, Markus T, Schaffner W, Gross A, Lynfield R, Tourdot L, Nadle J, Roland J, Escutia G, Zhang AY, Gellert A, Hurley C, Tesini BL, Phipps EC, Davis SS, Lyman M.   +30 more
europepmc   +1 more source

Detecting New Lesions Using a Large Language Model: Applications in Real‐World Multiple Sclerosis Datasets

Annals of Neurology, EarlyView.
Objective Neuroimaging is routinely utilized to identify new inflammatory activity in multiple sclerosis (MS). A large language model to classify narrative magnetic resonance imaging reports in the electronic health record (EHR) as discrete data could provide significant benefits for MS research. The objectives of the current study were to develop such
Shane Poole, Nikki Sisodia, Kanishka Koshal, Kyra Henderson, Jaeleene Wijangco, Danelvis Paredes, Chelsea Chen, William Rowles, Amit Akula, Jens Wuerfel, Vishakha Sharma, UCSF Multiple Sclerosis and Neuroinflammation Center clinicians, Andreas M. Rauschecker, Roland G. Henry, Riley Bove   +14 more
wiley   +1 more source