Results 41 to 50 of about 1,025,786 (272)

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

Machine learning and data-driven methods in computational surface and interface science

npj Computational Materials
Abstract Machine learning and data-driven methods have started to transform the study of surfaces and interfaces. Here, we review how data-driven methods and machine learning approaches complement simulation workflows and contribute towards tackling grand challenges in computational surface science from 2D materials to interface engineering ...
Hörmann, Lukas, Stark, Wojciech G., Maurer, Reinhard J.   +2 more
openaire   +2 more sources

Exploiting the structure effectively and efficiently in low rank matrix recovery

, 2018
Low rank model arises from a wide range of applications, including machine learning, signal processing, computer algebra, computer vision, and imaging science.
Absil, Agarwal, Ahmed, Alter, Amelunxen, Beck, Blanchard, Blumensath, Boumal, Boyd, Bunk, Cai, Cai, Cai, Cai, Cai, Cai, Candes, Candes, Candes, Candes, Candes, Candès, Candès, Candès, Candès, Carmon, Chandrasekaran, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Combettes, Davenport, Davenport, Ding, Donoho, Fazel, Ge, Ge, Ge, Goldberg, Gross, Hardt, Harrison, Huang, Jaggi, Jain, Jain, Ji, Jin, Keshavan, Kim, Kliesch, Koltchinskii, Krim, Kueng, Lanman, Li, Li, Lin, Ling, Ling, Liu, Liu, Lustig, Ma, Miao, Mishra, Mishra, Mishra, Mobahi, Mu, Negahban, Netrapalli, Ngo, Potter, Qu, Recht, Recht, Schermelleh, Srebro, Strohmer, Sun, Sun, Tanner, Tanner, Tao, Tharrault, Toh, Toh, Tomasi, Tu, Vandereycken, Wang, Wei, Wei, Wei, Wen, WenHuang, Xu, Yi, Zhang, Zhang, Zheng   +109 more
core   +2 more sources

Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations

Molecular Oncology, EarlyView.
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi, Mirjam Balbisi, Simon Sugár, Lóránd Váncza, Eszter Regős, Ilona Kovalszky, Ibolya Laczó, Tünde Harkó, Gábor Kecskeméti, Zoltán Szabó, Judit Moldvay, László Drahos, Lilla Turiák   +12 more
wiley   +1 more source

Improving prediction of hepatocellular carcinoma in chronic hepatitis B by machine learning: Productive relationship of medicine with computer science [PDF]

, 2023
Terry Cheuk‐Fung Yip, Cihan Yurdaydın
openalex   +1 more source

By-passing the Kohn-Sham equations with machine learning

, 2017
Last year, at least 30,000 scientific papers used the Kohn-Sham scheme of density functional theory to solve electronic structure problems in a wide variety of scientific fields, ranging from materials science to biochemistry to astrophysics.
Brockherde, Felix, Burke, Kieron, Li, Li, Müller, Klaus-Robert, Tuckerman, Mark E., Vogt, Leslie   +5 more
core   +3 more sources

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

Molecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin, Kjersti Tjensvoll, Karin Hestnes Edland, Satu Oltedal, Herish Garresori, Bjørnar Gilje, Saga Ekedal, Trygve Eftestøl, Jan Terje Kvaløy, Filip Janku, Oddmund Nordgård   +10 more
wiley   +1 more source

Prepared to Design Future Technologies: Students Study How to Build Computer Systems to Think for Themselves [PDF]

, 2019
Have you ever wondered how your cell phone unlocks just by using your face? How is it able to detect the difference between your face and someone else’s?
Dell\u27Agnese, Courtney
core   +1 more source

Current trends in single‐cell RNA sequencing applications in diabetes mellitus

FEBS Open Bio, EarlyView.
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian, Khodakaram Jahanbin, Shekoofeh Nikooei, Marzieh Rostaminejad, Arezoo Rahimi, Pedram Abdizadeh, Behnam Alipoor   +6 more
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source