Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer

M Khorrami, P Prasanna, A Gupta, P Patil… - Cancer immunology …, 2020 - AACR
No predictive biomarkers can robustly identify patients with non–small cell lung cancer
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …

Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study

M Khorrami, K Bera, P Leo, P Vaidya, P Patil… - Lung Cancer, 2020 - Elsevier
Objectives To evaluate whether combining stability and discriminability criteria in building
radiomic classifiers will improve the prognosis of cancer recurrence in early stage non-small …

Predicting cancer outcomes from whole slide images via hybrid supervision learning

X He, J Li, F Yan, L Wang, W Chen, X Huang, Z Hu… - Neurocomputing, 2023 - Elsevier
Collaboratively leveraging limited pixel-level segmentation annotations and large-scale
slide-level classification labels in hybrid supervision learning can significantly enhance …

Label-free liquid biopsy-based disease model, analytical platform and method for predicting disease prognosis

BL Khoo, HUA Haojun, W Li - US Patent 12,100,143, 2024 - Google Patents
The present disclosure provides a platform and method for predicting disease prognosis
based on label-free liquid biopsy, in particular, to establish a disease model in vitro on a …

Predicting tumor prognoses based on a combination of radiomic and clinico-pathological features

P Vaidya, A Madabhushi, K Bera - US Patent 11,610,304, 2023 - Google Patents
Lung cancer is one of the most significant cause of cancer related deaths in both men as
well as women. Annually, there are approximately 228,820 new lung cancer cases and …

Identifying device, learning device, method, and storage medium

T Furukawa, H Yokota, S Oyama, Y Hasegawa… - US Patent …, 2022 - Google Patents
An aspect of the present invention allows for more accurately identifying a possible lesion in
a human lung field. The aspect of the present invention includes an image obtaining section …