Team effort with Mustafa Raoof #SeanDineen #KevinSullivan lead by #AleksandraSikora . Part 2 on AI coming 🔜

Paging Dr. Art(ificial) Intelligence at the panel for the Florida Polytechnic University students. With Issam El Naqa Moffitt Machine Learning and Moffitt Cancer Center 👇

Please check out Our Machine Learning News and Events: moffitt.org/research-scien…

This page includes great recordings from HOME (Hands-On Machine Learning) and the Machine Learning League and ML Research Seminars.

You can also find us on Linkedin at: linkedin.com/groups/1274087…

On March 26 and 27 we hosted Matlab as part of the Machine Learning League.

Below are links to these two presentations:

Parallel Computing with MATLAB for Moffitt Cancer Center
moffitt.hosted.panopto.com/Panopto/Pages/…

Medical Processing and Machine Learning Workflow
moffitt.hosted.panopto.com/Panopto/Pages/…

On March 20, Piyawan Conahan from Yi Luo gave a speech entitled “Developing an Accurate and Racially Unbiased Risk-based Model to Determine Lung Cancer Screening Eligibility among White and African American Smokers” at the AMIA 2024 Informatics Summit (amia.org/education-even…).

After the break Moffitt Machine Learning research in progress seminars are back. Today, #AsimWaqas from Ghulam Rasool lab on Pan-cancer Multimodal Learning 👇

Moffitt Machine Learning shares this new publication: Combined ionizing radiation acoustic and ultrasound dual-modality volumetric imaging for mapping the dose on anatomical structure during radiation therapy: spiedigitallibrary.org/conference-pro…

Congratulations Issam El Naqa EDUARDO MOROS Abe Oraiqat, PhD #AI #ML

Moffitt Machine Learning shares this new publication: The development of ionizing radiation acoustic imaging (iRAI) for mapping the dose deep in the patient body during radiation therapy: spiedigitallibrary.org/conference-pro…

Congratulations Issam El Naqa EDUARDO MOROS Abe Oraiqat, PhD ! #machinelearning #radiation

Moffitt Machine Learning has two new publications this morning:

From Issam El Naqa Lab: Improved outcome models with denoising diffusion pubmed.ncbi.nlm.nih.gov/38325221/

From Ghulam Rasool Lab: Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets pubmed.ncbi.nlm.nih.gov/38475170/

March 5-March 7 Karolak Lab was honored to take part on a panel on 'Medical Integration of AI' at the Global and National Security Institute (GNSI) Tampa Summit. For more information, please visit: linkedin.com/posts/aleksand…

On March 6, 2024. Dr. Hassan Fathallah-Shaykh (Professor, Department of Neurology, Heersink School of Medicine, The University of Alabama at Birmingham), spoke on “Volumetrics in Glioma: A New Standard” for the ML Research Seminar. moffitt.hosted.panopto.com/Panopto/Pages/…

Moffitt Machine Learning congratulates Bhargav Kansara, as well as many others, on their new publication: 'Optimizing presurgical education for patients with head and neck cancer receiving laryngectomy and free flap surgery: A qualitative study': pubmed.ncbi.nlm.nih.gov/38459809/

Moffitt Machine Learning congratulates Karolak Lab as well as many others on their newest publication: 'Does artificial intelligence need companionship to assist in drug discovery? The Kirsten rat sarcoma virus study' For more information on this artile: academic.oup.com/bjrai/article/…

Privileged to be invited to the the panel on ‘Medical integration of AI’ at the 3rd Global and National Security Institute (GNSI) Tampa Summit. With Haru Okuda Andrew A. Borkowski in the afternoon sessions to come.

Today, March 5, 2024, Issam El Naqa spoke at the Society of Radiographers of South Africa - SORA 1/24 Webinar on the topic of 'AI in Radiographic Imaging' for more information please click: sorsa.org.za

During the 39th Annual ‘Critical Issues in the Tumor Microenvironment: Angiogenesis, Metastasis, and Immunology’ held October 28th-31st, Issam El Naqa will present on 10-31-24 at 4:00pm on the topic of “AI in Basic and Clinical Oncology.” For more information: steelelabs.mgh.harvard.edu/tumorcourse

Moffitt Machine Learning's proud to announce a new publication: 'A novel deep learning-based method for automatic stereology of microglia cells from low magnification images' Please see the following link for article: pubmed.ncbi.nlm.nih.gov/38402997/

#deeplearning #automatic #research #microgliacells

On February 20, 2024, naveenagv and Bradley Basik from Issam El Naqa lab attended and presented at the #SPIE Medical Imaging 2024 conference live demo workshop session about the MIDRC #AI Interface, which serves as a one-stop shop for Deep Learning pipelines.