Results 231 to 240 of about 8,272,458 (291)

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes. [PDF]

Sci Rep
Ghosh A, Freda PJ, Shahrestani S, Orlenko A, Scheer JK, Obafemi-Ajayi T, Moore JH, Walker CT.   +7 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Automated machine learning-based unenhanced radiomics for identification of HER2-low breast cancers using diffusion-weighted imaging. [PDF]

BMC Cancer
Li X, Li C, Jiang L, Zheng D, Tian S, Chen M.   +5 more
europepmc   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery. [PDF]

Commun Med (Lond)
Hosseinzadeh F, Liu G, Tsai E, Mahmoudi A, Yang A, Kim D, Fieux M, Levi L, Abdul-Hadi S, Adappa ND, Alt JA, Altartoor KA, Banyi N, Challa M, Chandra R, Chang MT, Chen PG, Cho DY, de Choudens CR, Chowdhury N, Colon CM, DelGaudio JM, Del Signore A, Dorismond C, Dutra D, Edalati S, Edwards TS, Ferriol JB, Geltzeiler M, Georgalas C, Govindaraj S, Grayson JW, Gudis DA, Harvey RJ, Heffernan A, Hwang PH, Iloreta AM, Knight ND, Kohanski MA, Lerner DK, Leventi A, Lee LH, Lubner R, Mahomva C, Massey C, McCoul ED, Nayak JV, Pak-Harvey E, Palmer JN, Pandrangi VC, Psaltis AJ, Raviv J, Sacks P, Sacks R, Schaberg M, Soudry E, Sweis A, Thamboo A, Turner JH, Wang SX, Wise SK, Woodworth BA, Wormald PJ, Patel ZM.   +63 more
europepmc   +1 more source

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

Advanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti, Yoshiki Yasukochi, Gianluca Angiola, Takaharu Ueno, Saki Ikegami, Rintaro Okawa, Tetsuya Adachi, Wenliang Zhu, Osam Mazda, Alfio Grillo, Koichiro Higasa, Kazu Okuma   +11 more
wiley   +1 more source

A human-centered automated machine learning agent with large language models for multimodal data management and analysis. [PDF]

Front Artif Intell
Huang R, Tao S.
europepmc   +1 more source

Sulfur–Oxygen Competitive Coordination Allosteric Hydrogel for Triboelectric Nanogenerator‐Based Intelligent Tactile Recognition

Advanced Science, EarlyView.
A dynamic Ag+─S coordinated hydrogel with a sulfur–oxygen competitive coordination allosteric switch enables reversible tuning between soft–adhesive and stiff–robust states. Integrated with a lightweight 1DCNN classifier, the smart glove system achieves 99.70% laboratory and 93.35% real‐wear material recognition accuracy, offering a paradigm for self ...
Shixia Lan, Lin Zhang, Yunyun Dong, Yongyun Mao, Wanbiao Hu   +4 more
wiley   +1 more source

Development and clinical application of a postoperative complication prognosis prediction model for gastric cancer patients based on automated machine learning with body fat rate. [PDF]

Front Oncol
Xue S, Dong X, Wei J, Hao J.
europepmc   +1 more source