🧰 CCKP Toolkit Feature: PyRadiomics
PyRadiomics addresses a core need in precision oncology: systematically extracting quantitative features from medical images. This open-source Python package pulls hundreds of radiomic features [...]
PyRadiomics addresses a core need in precision oncology: systematically extracting quantitative features from medical images. This open-source Python package pulls hundreds of radiomic features [...]
Thursday, May 28, 2026 | 9AM - 2PM PT / Noon - 5PM ET The Role of the Immune System Virtual Symposium will feature [...]
Bone metastasis is common across cancer types, but what's happening at the cellular level inside those lesions has been hard to map. This dataset uses [...]
Cumulus helps researchers tackle one of single-cell genomics' biggest challenges: analyzing datasets too large for a laptop. It's a cloud-based framework for large-scale scRNA-seq and [...]
Tumors aren't genetically uniform, and which clones survive and why they survive has direct bearing on treatment resistance. LinG3D adds spatial context to lineage tracing. [...]
A new single-cell RNA-sequencing dataset provides in-depth profiling of estrogen receptor (ER)-positive primary and metastatic breast cancer tumors from 23 patients, offering insight into [...]
Created and maintained by Cameron Davidson-Pilon, lifelines helps researchers answer “how long until something happens?” — whether that’s patient outcomes in cancer studies, subscriber [...]
We’re excited to share the dataset “Impact of Post-Lysis Stopping Point Prior to Reverse Transcription,” generated using the newly developed particle-templated instant partition sequencing [...]
I am a recent PhD graduate from MIT's Department of Chemical Engineering, where I worked in the Blankschtein/Langer Labs on using low-frequency ultrasound [...]
AMICI (Advanced Multilanguage Interface for CVODES and IDAS) is a high-performance Python and C++ interface for solving large-scale ordinary and algebraic differential equation models. It provides [...]