1. EPCO-30. MACHINE-LEARNING PREDICTIVE MODELS BASED ON DNA METHYLATION SIGNATURES DETECTED IN LIQUID BIOPSY SPECIMENS ACCURATELY PREDICT THE DIAGNOSIS AND PROGNOSIS OF MENINGIOMAS. (12th November 2021) Authors: Herrgott, Grayson; Sabedot, Thais; She, Ruicong; Wells, Michael; Asmaro, Karam; Malta, Tathiane; Mosella, Maritza; Nelson, Kevin; deCarvalho, Ana; Poisson, Laila; Robin, Adam; Lee, Ian; Snyder, James; Walbert, Tobias; Kalkanis, Steven; Rock, Jack; Noushmehr, Houtan; Castro, Anavaleria Journal: Neuro-oncology Issue: Volume 23: Supplement 6(2021) Page Start: vi8 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Noninvasive approaches to detect methylation-based markers to monitor gliomas. (11th November 2022) Authors: Noushmehr, Houtan; Herrgott, Grayson; Morosini, Natalia S; Castro, Ana Valeria Journal: Neuro-oncology advances Issue: Volume 4(2022)Supplement 2 Page Start: ii22 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. OTME-5. Meningioma liquid biopsy specimens exhibit contrasting immune-cell landscapes across methylation-subtypes and estimated recurrence risk subgroups. (5th July 2021) Authors: Herrgott, Grayson; She, Ruicong; Sabedot, Thais; Wells, Michael; Asmaro, Karam; Malta, Tathiane; Mosella, Maritza; Nelson, Kevin; deCarvalho, Ana; Poisson, Laila; Mukherjee, Abir; Cazacu, Simona; Robin, Adam; Lee, Ian; Snyder, James; Walbert, Tobias; Rosenblum, Mark; Mikkelsen, Tom; Kalkanis, Ste... Journal: Neuro-oncology advances Issue: Volume 3(2021)Supplement 2 Page Start: ii14 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗