Pranjal Vaidya, PhD
@pranjal31vaidya
Scientist @abbvie | Phd at @CCIPD_Case @CWRU | @SIGHPC fellow 2020 | BME | Image Processing | AI | Machine Learning #womeninstem
ID: 964292170558722048
https://sites.google.com/view/pranjalvaidya 16-02-2018 00:15:43
202 Tweet
221 Followers
367 Following
New CWRUBME-led research addresses COVID-19 severity using #radiomics and CT scans. Read the paper in Frontiers in Radiology at bit.ly/3OqJdDF.
In my 1st #PhD yr I was talking about how much I was loving my work + supervisor. A 3rd yr told me "wait til ur 3rd Yr. It'll get bad. I promise." 1/n #phdlife #phdchat #AcademicChatter #AcademicTwitter OpenAcademics PhD Voice - Independently Run PhD_Genie PhD Speaks #phdtip #researchtip
Thrilled to report new paper "Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study" in Frontiers - Oncology. Led by @CCIPD_Case #rockstar Pranjal Vaidya, PhD tinyurl.com/2p87f8xz
# 4 Original Research Article: Combined Radiomic and Visual Assessment for Improved Detection of #LungAdenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study 👨⚕️👩⚕️ Vaidya P et al 👉 fro.ntiers.in/NGN6 Pranjal Vaidya, PhD Anant Madabhushi #Imaging
New paper in Frontiers - Oncology: "Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study" Kudos to first author Pranjal Vaidya, PhD, Anant Madabhushi and all authors! bit.ly/3MmaXad
Featured today by MSK Library: Combined #Radiomic and Visual Assessment for Improved Detection of Lung #Adenocarcinoma Invasiveness on Computed #Tomography Scans: A Multi-Institutional Study dx.doi.org/10.3389/fonc.2… Pranjal Vaidya, PhD Anant Madabhushi Vamsi Velcheti, MD MBA FASCO
Diwali gift from USPTO, new patent awarded to our group. USSN 11,464,473 "Distinguishing minimally invasive carcinoma and adenocarcinoma in situ from invasive adenocarcinoma with intratumoral and peri-tumoral textural features". Kudos to inventors Kaustav Bera & Pranjal Vaidya, PhD
Thrilled to report new patent USPTO USSN: 11,574,404 "Predicting Recurrence & Overall Survival using #Radiomic features correlated with PD-L1 expression in early stage non-small cell lung cancer". Kudos to co-inventors Prateek Prasanna Pranjal Vaidya, PhD Vamsi Velcheti, MD MBA FASCO Kaustav Bera
All that is perfect with California ❤️ #beachday #beachafternoon #sunset County of Mendocino