Table S2 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma gan Hanyun Zhang (15386757)

Pynciau: “...Artificial intelligence & machine learning...”

Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma gan Hanyun Zhang (15386757)

Pynciau: “...Artificial intelligence & machine learning...”

Additional file 3 of Steep intraplate reverse faulting adjacent to the hypocenter of the 1923 Kanto earthquake: the Mw 5.0 western Kanagawa earthquake in eastern Japan on 9 August... gan Yasunori Sawaki (22685773)

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Figure 2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

NRF Thuthuka Project: Microplastics Removal from Wastewater using Machine Learning Optimization (TTK240430216739) gan Rishen Roopchund (22680212)

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Figure 5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Figure 4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Figure 1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Figure 6 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Figure 3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Supplementary Table S1-S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group gan David Milewski (15050643)

Pynciau: “...Artificial intelligence & machine learning...”

Direct Numerical Simulation Dataset of Turbulent Channel Flow at Re_tau=180 gan Pablo Portero (22639367)

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Additional file 1 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study gan Sijie Yu (8895605)

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Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study gan Sijie Yu (8895605)

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DATASET: Data-Driven Clinical Decision Trees and Generative Topographic Mapping to Guide Stroke Rehabilitation Program Allocation gan Dimitrios-Sokratis Komaris (10266358)

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Suppl. Data 1 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer gan Marija Pizurica (17060224)

Pynciau: “...Artificial intelligence & machine learning...”

Suppl Data 2 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer gan Marija Pizurica (17060224)

Pynciau: “...Artificial intelligence & machine learning...”

Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer gan Charles Blatti (15292859)

Pynciau: “...Artificial intelligence & machine learning...”

Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer gan Charles Blatti (15292859)

Pynciau: “...Artificial intelligence & machine learning...”

Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer gan Charles Blatti (15292859)

Pynciau: “...Artificial intelligence & machine learning...”