OK. Heres my list of series. Not necessarily in order of favorite or most read. I think mostly chronological. 1.Lord of the Rings Trilogy - JRRT 2.Orignial Shannara Trilogy - Terry Brooks 3.Chronicles of Thomas Covenant the Unbeliever - Stephen R Donaldsone 4.Dune series (Books

Michael Kammer, PhD 🗯 Yes. Love the series and Asimov universe in general. Foundation is in my runner up list: 1.Thrawn Trilogy - Timothy Zahn 2.Star Wars Legends: New Jedi Order - Various Authors 3.Enders Saga - Orson Scott Card 4.Foundation Series - Isaac Asimov

An awesome and comprehensive list. I’d add The Witcher. And of course, though not a series, the single best sci-fi novel of all time, Star Wars Galaxies, The Ruins of Dantooine

ChatGPT took my job, and all I did in return was write an essay for CHEST® Journal authors.elsevier.com/a/1hYKW2p-l9Bb1

"After a brief discussion on the extent to which robots would eventually replace us, one of the physicians in the room joked that ChatGPT should just write my next paper for me." Read from "A Case Study in Artificial Intelligence-Generated Manuscripts." hubs.ly/Q020Q3-X0

My first time serving as associate editor for a journal, after months of struggling to find reviewers and begging and praying, I finally get my first set of completed reviews: Rev 1: Accept Rev 2: Revise and resubmit Rev 3: Reject outright 🤦🏻‍♂️🤦🏻‍♂️🤦🏻‍♂️🤦🏻‍♂️

Yoooo jon batiste on the radio at London Heathrow airport, bringing a little New Orleans to those of us that miss it!

🩻 #CT advancements improve early #lungcancer detection, reducing mortality 🫁 Millions of nodules detected annually 💻 Semantic & engineered radiomic features & #deeplearning help us focus pubs.rsna.org/doi/10.1148/ra… William Hsu Michael Kammer, PhD 🗯 @MaldonadoFabien UCLA Radiology

Super proud of LeilaK's best bioinfo prize by SFBI for her poster at #YS2C_GSO on Lung Predict pilot study tinyurl.com/mr4ab4ra Watch this space for the paper, thanks to Julien Mazieres Laboratoires Pierre Fabre Fondation Toulouse Cancer Santé and Michael Kammer, PhD 🗯 for the validation cohort!

Collaborating with the amazing Ashley Prosper, MD Michael Kammer, PhD 🗯 @MaldonadoFabien and Deni Aberle on a Radiology review article surveying the state of indeterminate pulmonary nodule characterization using CT and AI/ML analysis doi.org/10.1148/radiol… (2/5)

Lot of fun putting this workshop together. If anyone wants the code and analysis we used, I would be happy to share ilcn.org/hands-on-works…

Premalignant Progression in the Lung: An official American Thoracic Society (ATS) research statement. Originally planned by our founder, Pierre Massion, and Seyed Moghaddam who ensured it was completed. We are thankful to have participated through Michael Kammer, PhD 🗯 atsjournals.org/doi/full/10.11…

As Eric Grogan would tell you, the amount of mud in the river water depends on how far down the river you are from the mud. Not surprising (but never before tested), its the same for (lung cancer) biomarkers in the blood! bmcpulmmed.biomedcentral.com/articles/10.11… MASLAB