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Sonal Gandhi

Showing results (61-70 of 89) with videos related to

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Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|May 1, 2024
Identification of pancreatic cancer risk factors from clinical notes using natural language processingDhruv Sarwal, Liwei Wang, Sonal Gandhi, et al.
Translational Oncology|June 22, 2019
Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain ElastographyJason Fernandes, Lakshmanan Sannachi, William T Tran, et al.
Tomography (Ann Arbor, Mich.)|March 26, 2025
Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection MethodsAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Cancers|March 10, 2022
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast CancerDivya Bhardwaj, Archya Dasgupta, Daniel DiCenzo, et al.
Investigative Ophthalmology & Visual Science|August 15, 2013
CD11b+GR1+ myeloid cells secrete NGF and promote trigeminal ganglion neurite growth: implications for corneal nerve regenerationJoy Sarkar, Shweta Chaudhary, Sarmad H Jassim, et al.
Oncotarget|February 1, 2021
<i>A priori</i> prediction of response in multicentre locally advanced breast cancer (LABC) patients using quantitative ultrasound and derivative texture methodsLaurentius O Osapoetra, Lakshmanan Sannachi, Karina Quiaoit, et al.
JCO Clinical Cancer Informatics|January 13, 2021
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological FeaturesNicholas Meti, Khadijeh Saednia, Andrew Lagree, et al.
Breast Cancer Research and Treatment|February 28, 2022
A Canadian national guideline on the neoadjuvant treatment of invasive breast cancer, including patient assessment, systemic therapy, and local management principlesSonal Gandhi, Muriel Brackstone, Nicole J Look Hong, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|June 16, 2017
Use of Adjuvant Bisphosphonates and Other Bone-Modifying Agents in Breast Cancer: A Cancer Care Ontario and American Society of Clinical Oncology Clinical Practice GuidelineSukhbinder Dhesy-Thind, Glenn G Fletcher, Phillip S Blanchette, et al.
Oncotarget|July 15, 2021
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancerChristopher Kolios, Lakshmanan Sannachi, Archya Dasgupta, et al.
Pageof 9

Showing results (61-70 of 89) with videos related to

Sort By:
Pageof 9
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|May 1, 2024
Identification of pancreatic cancer risk factors from clinical notes using natural language processingDhruv Sarwal, Liwei Wang, Sonal Gandhi, et al.
Translational Oncology|June 22, 2019
Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain ElastographyJason Fernandes, Lakshmanan Sannachi, William T Tran, et al.
Tomography (Ann Arbor, Mich.)|March 26, 2025
Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection MethodsAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Cancers|March 10, 2022
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast CancerDivya Bhardwaj, Archya Dasgupta, Daniel DiCenzo, et al.
Investigative Ophthalmology & Visual Science|August 15, 2013
CD11b+GR1+ myeloid cells secrete NGF and promote trigeminal ganglion neurite growth: implications for corneal nerve regenerationJoy Sarkar, Shweta Chaudhary, Sarmad H Jassim, et al.
Oncotarget|February 1, 2021
<i>A priori</i> prediction of response in multicentre locally advanced breast cancer (LABC) patients using quantitative ultrasound and derivative texture methodsLaurentius O Osapoetra, Lakshmanan Sannachi, Karina Quiaoit, et al.
JCO Clinical Cancer Informatics|January 13, 2021
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological FeaturesNicholas Meti, Khadijeh Saednia, Andrew Lagree, et al.
Breast Cancer Research and Treatment|February 28, 2022
A Canadian national guideline on the neoadjuvant treatment of invasive breast cancer, including patient assessment, systemic therapy, and local management principlesSonal Gandhi, Muriel Brackstone, Nicole J Look Hong, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|June 16, 2017
Use of Adjuvant Bisphosphonates and Other Bone-Modifying Agents in Breast Cancer: A Cancer Care Ontario and American Society of Clinical Oncology Clinical Practice GuidelineSukhbinder Dhesy-Thind, Glenn G Fletcher, Phillip S Blanchette, et al.
Oncotarget|July 15, 2021
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancerChristopher Kolios, Lakshmanan Sannachi, Archya Dasgupta, et al.
Pageof 9