Results 251 to 260 of about 3,546,741 (346)

Single-cell 3D genome reconstruction in the haploid setting using rigidity theory. [PDF]

J Math Biol
Dewar S, Grasegger G, Kubjas K, Mohammadi F, Nixon A.   +4 more
europepmc   +1 more source

Interval-valued fuzzy graphs

, 2010
Muhammad Akram, Wiesław A. Dudek
openalex   +1 more source

Electrochemical Biosensor for Rapid Detection of Acute Rejection in Kidney Transplants

Advanced Healthcare Materials, EarlyView.
A low‐cost, rapid electrochemical immunosensor coated with a novel antifouling nanocomposite enables single‐step, dual‐biomarker profiling directly from unprocessed urine. Application in a clinical study shows accurate discrimination of acute rejection in kidney transplants from other acute kidney injuries via machine learning.
Rohit Gupta, Nikolaos Salaris, Ashish Kalkal, Fernando Yuen Chang, Maryam Javed, Azhar Ali Khan, Priya Mandal, Stavroula Balabani, Reza Motallebzadeh, Manish K. Tiwari   +9 more
wiley   +1 more source

A Stochastic Approach to Generalized Modularity Based Community Detection. [PDF]

Entropy (Basel)
Tipton J, Langston J.
europepmc   +1 more source

On Representing an Interval Graph Using the Minimum Number of Interval Lengths

, 2010
Márcia R. Cerioli, Fabiano S. Oliveira, Jayme L. Szwarcfiter   +2 more
openalex   +1 more source

Magnetic Resonance Imaging‐Based Quantification of Endosomal Escape Using Iron Oxide Nanoparticle‐Loaded Lipid Nanoparticles

Advanced Healthcare Materials, EarlyView.
The therapeutic efficacy of lipid nanoparticle(LNP)‐based drugs depends on endosomal escape. However, few methods are available for quantifying the efficiency of endosomal escape in vivo. Herein, a novel method for quantifying the endosomal escape efficiency index using magnetic resonance imaging is introduced.
Somin Lee, Jeongbin Park, Han Na Jung, Shengjun Li, Zhijun Lin, Hyung‐Jun Im   +5 more
wiley   +1 more source

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

Pure red-cell aplasia after radioactive iodine treatment in a patient with papillary thyroid cancer and follow up for two years: a case report. [PDF]

Front Oncol
Li R, Wang M, Li S, Liao L.
europepmc   +1 more source