Results 181 to 190 of about 5,474,085 (350)
Advanced Science, EarlyView.To maximize the efficacy of cancer vaccines, adjuvants, collection, lysis, purification, oxidation, loading sites, and sizes, etc., are investigated. The optimized cancer nanovaccines loading whole tumor antigens can cure all or most tumor‐bearing mice in multiple mouse cancer models.
Xiangxiang Xu +13 more
wiley +1 more source
Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. [PDF]
Sensors (Basel), 2019 Viseras A, Shutin D, Merino L.
europepmc +1 more source
Random cascades on wavelet dyadic trees
, 1998 A. Arnéodo, Emmanuel Bacry, J. F. Muzy
openalex +2 more sources
From Code to Life: The AI‐Driven Revolution in Genome Editing
Advanced Science, EarlyView.This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li +10 more
wiley +1 more source
Enumerations of trees and forests related to branching processes and random walks
, 1998 James C. Pitman
openalex +1 more source
Randomized vs. deterministic decision tree complexity for read-once Boolean functions [PDF]
, 2002 R. Heiman, Avi Wigderson
openalex +1 more source
Advanced Science, EarlyView.The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang +15 more
wiley +1 more source
Once edge-reinforced random walk on a tree [PDF]
, 2002 Rick Durrett, Harry Kesten, Vlada Limic
openalex +1 more source
Advanced Science, EarlyView.This study develops TMEclassifier, a machine‐learning tool that classifies cancers into three distinct subtypes—Immune exclusive (IE), immune suppressive (IS), and immune activated (IA)—which exhibit significant heterogeneity and necessitate customized therapeutic strategies.
Dongqiang Zeng +27 more
wiley +1 more source