Results 161 to 170 of about 1,677,396 (366)

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Prediction of Protein Structure by Evaluation of Sequence-structure Fitness [PDF]

, 1993
Christos Ouzounis, Chris Sander, Michael E. Scharf, Reinhard Schneider   +3 more
openalex   +1 more source

Understanding and measuring mechanical signals in the tumor stroma

FEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz, Chiara Cimmino, Maurizio Ventre, Alessandra Cambi   +3 more
wiley   +1 more source

Rotavirus YM gene 4: analysis of its deduced amino acid sequence and prediction of the secondary structure of the VP4 protein [PDF]

, 1991
Susana López, Israel López-Reyes, Pedro Romero, Enrique Moreno Méndez, Xavier Soberón, Carlos F. Arias   +5 more
openalex   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Genetic algorithms for protein tertiary structure prediction [PDF]

, 1993
Steffen Schulze-Kremer
openalex   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

The transformative power of transformers in protein structure prediction. [PDF]

Proc Natl Acad Sci U S A, 2023
Moussad B, Roche R, Bhattacharya D.
europepmc   +1 more source

Protein secondary structure prediction using the three-dimensional profile method [PDF]

, 1993
K. Y. J. Zhang, David Eisenberg
openalex   +1 more source

The trRosetta server for fast and accurate protein structure prediction

Nature Protocols, 2021
Zongyang Du, Hong Su, Wenkai Wang, Lisha Ye, Hong Wei, Zhenling Peng, I. Anishchenko, D. Baker, Jianyi Yang   +8 more
semanticscholar   +1 more source