Results 121 to 130 of about 124,045 (313)
This study proposes a universal catalytic DNA circuits termed TACTIC (Thermus thermophilus protein‐driven autocatalytic circuit) for one‐pot detection of DNA and RNA in multiple clinical samples. Integrated with machine learning, TACTIC accurately profile the distinct expression of four extracellular vesicle‐derived miRNAs across different samples and ...
Zuowei Xie +12 more
wiley +1 more source
COMPARATIVE EFFECTS OF BORIC ACID AND RESVERATROL ON MCF-7 BREAST CANCER CELLS METASTATIC BEHAVIOUR
Tuğçe Aladağ, Fatma Fırat
openalex +2 more sources
Proton‐coupled electron transfer doping with benzoquinone is applied to p‐dope dense films of semiconducting single‐walled carbon nanotubes. The doping efficiency depends on the pH of the doping solution and the bandgap of the nanotubes. The highest conductivities and power factors are achieved for small‐bandgap nanotubes, remaining stable for over 120
Angus Hawkey +5 more
wiley +1 more source
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman +2 more
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A streamlined platform for glycosite‐specific antibody conjugation is enabled by LacNAc‐derived cyclic acetal donors, which can be prepared in only two steps and used directly in single‐enzyme Endo S2‐mediated transglycosylation. The platform supports the broad construction of homogeneous gsADCs and gsDACs, with donor 7 producing glycoengineered ...
Deqin Cai +13 more
wiley +2 more sources
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
ABSTRACT Postpartum hemorrhage (PPH) remains the leading cause of preventable maternal mortality despite standard interventions. Recent fibrinogen trials failed to improve outcomes, prompting interest in coagulation factor XIII (FXIII). FXIII functions as “molecular cement,” cross‐linking fibrin and stabilizing clots.
Jeremy W. Jacobs +8 more
wiley +1 more source

