Results 121 to 130 of about 19,322 (256)

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

open access: yesAdvanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit   +43 more
wiley   +1 more source

Protein Language Model‐Guided Engineering of a 2,3‐Butanediol Dehydrogenase for the Enantioselective Synthesis of Cyclic α‐Hydroxy Ketones

open access: yesAdvanced Science, EarlyView.
A (2R,3R)‐butanediol dehydrogenase from Bacillus subtilis (BsBDH) is engineered for the enantioselective synthesis of 2‐hydroxycyclohexanone. A PASS computational design strategy is proposed to enhance the thermostability of BsBDH. Moreover, ESM‐1v combined with ISM is utilized for enhancing and inverting its stereoselectivity.
Haote Ding   +5 more
wiley   +1 more source

Biodegradable Carbonate Nanogels Loaded with Anti MFAP‐5 siRNA for Anti‐stromal Therapy of Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
Polycarbonate nanogels enable lipid‐free delivery of anti‐MFAP‐5 siRNA into cancer‐associated fibroblasts (CAF) in hepatocellular carcinoma. In a cirrhotic murine model, this approach silences MFAP‐5, reduces fibroblast activation, and suppresses tumor growth by inhibiting NOTCH/Hes1‐driven angiogenesis. CAF‐targeted MFAP‐5 RNAi and conserved signaling
Paul Schneider   +20 more
wiley   +1 more source

Demographic and Acoustic Factors related to Automatic Speech Recognition Inaccuracies for Child African American English Speakers. [PDF]

open access: yesPerspect ASHA Spec Interest Groups
Fletcher BN   +8 more
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

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