Results 191 to 200 of about 1,818,152 (349)

IDF-Net: Interpretable Dynamic Fusion Network for Colorectal Cancer Diagnosis Using Cross-Modal Imaging. [PDF]

Diagnostics (Basel)
Hayeso HH, Shi P, Lian J, Lonseko ZM, Rao N.   +4 more
europepmc   +1 more source

Students' Ability To Interpret Pattern Imagessocial Cultural Spatial Of The Google Maps Application

, 2023
Ririn Posma Rina, Risma Sinaga, Sugeng Widodo   +2 more
openalex   +2 more sources

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Integrated Artificial Intelligence Framework for Tuberculosis Treatment Abandonment Prediction: A Multi-Paradigm Approach. [PDF]

J Clin Med
Filho FGSDS, Falcão IWS, de Souza TM, Carneiro SR, da Rocha Seruffo MC, Cardoso DL.   +5 more
europepmc   +1 more source

Interpreting the action of the endomorphism monoid of the rationals [PDF]

, 2019
J. K. Truss, Edith Vargas-García
openalex   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Explainable artificial intelligence in pancreatic cancer prediction: from transparency to clinical decision-making. [PDF]

Front Oncol
Alharbi W, Alfayez AA.
europepmc   +1 more source

Physiological stress during simultaneous interpreting: a comparison of experts and novices

, 2003
Ingrid Kurz
openalex   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Cross-sectional analysis of accuracy versus interpretability in Medicare Advantage risk adjustment. [PDF]

Health Policy Open
Lozinski M.
europepmc   +1 more source