The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario in the patient case. حسب Masashi Yagi (3186909)

الموضوعات:

Fig 14 - حسب Masashi Yagi (3186909)

الموضوعات:

Optimization framework. حسب Nisha Ann Viswan (20371285)

Fig 19 - حسب Tomasz Gutowski (17200042)

Fig 18 - حسب Tomasz Gutowski (17200042)

Fig 16 - حسب Tomasz Gutowski (17200042)

Fig 17 - حسب Tomasz Gutowski (17200042)

Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF حسب Haidi Wang (9694004)

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …"

Supplementary file 1_Association of Shanghai air pollution with postoperative infection in adolescent orthopedic patients: a study using a deep learning-based evolutionary model.do... حسب Yufeng Wang (274657)

DataSheet_1_Improved Computational Identification of Drug Response Using Optical Measurements of Human Stem Cell Derived Cardiomyocytes in Microphysiological Systems.pdf حسب Karoline Horgmo Jæger (6785450)

"…Here, we utilize an updated action potential model to represent both hiPSC-CMs and adult cardiomyocytes, apply an IC50-based model of dose-dependent drug effects, and introduce a continuation-based optimization algorithm for analysis of dose escalation measurements using five drugs with known effects. …"

Data Sheet 1_Stemness-related gene signatures as a predictive tool for breast cancer radiosensitivity.pdf حسب Jinzhi Lai (6856568)

"…We established a radioresistant BRCA cell line using the MCF-7 breast cancer cell line. A radioresistant breast cancer cell line (MCF-7/IR) was established by progressive exposure to increasing radiation doses. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"