https://www.nejm.org/doi/full/10.1056/NEJMc1900771?query=featured_secondary
We determined the physiological profile of a 70-year-old male marathoner who ran the event in 2:54:23…
LDL 84mg/dL and HDL 66mg/dL, quite impressive…
Posts Tagged ‘from’
The Best Transcription Services
April 7, 2019QT:[[”
If you need the accuracy of a real person doing your transcribing but have only hours of turnaround time to spare, Rev could be a good option. It has the best editor tool (in fact, the same editor as the AI-based Trint) and the easiest upload process of any of the human services we tested. But although it was more accurate than any of the AI-based services we tried, it consistently returned the
hardest-to-read and most error-filled transcriptions (aside from the jargon transcription, on which it tied for the most accurate) while being the costliest of the services we tested. The Rev transcripts were still readable, but we think it’s worthwhile to wait a bit longer for the cheaper and more accurate GoTranscript service if you have the time.
Scribie took the longest of any tested service to return our transcripts, had the worst editor, had the slowest upload process, and sported the poorest user interface. When we submitted our audio sample of a speaker with a foreign accent, Scribie rejected it. A customer service representative stated that the file was too short and too complicated for the service to find someone willing to transcribe it; Scribie rejected a second, longer accented file too. If you need to submit an audio file only on occasion or have lots of clear audio files, Scribie could still be a good option—it’s the least expensive real-people service we tried, and it produced easy-to-read and accurate transcripts for us. But steer clear if you want to be sure your uploads are accepted reliably.”
“]]
The Best Transcription Services
https://thewirecutter.com/reviews/best-transcription-services/
Excellent review for cbb752 students
March 31, 2019Balanced perspective on history and future of genomic medicine by Jay Shendure https://www.cell.com/cell/fulltext/S0092-8674(19)30152-7
neuroDEVELOPMENTS: Neuroscience Research to Clinical Relevance
March 31, 2019https://mailchi.mp/add7f814b67d/neurodevelopments-720229
https://www.libd.org/neurodevelopments/
the Lieber’s neuroDEVELOPMENTS newsletter, which features the PsychENCODE paper
politics questions galore
March 31, 2019prediction markets
https://www.predictit.org/
Attached: Cancer Therapy Advisor Q&A
March 17, 2019February 13, 2019
Q&A With Mark B. Gerstein, PhD, on Diagnostic Genomic vs Exomic Sequencing Bryant Furlow
https://www.cancertherapyadvisor.com/home/cancer-topics/general-oncology/qa-with-mark-b-gerstein-phd-on-diagnostic-genomic-vs-exomic-sequencing/
Final Article — American Scholar Magazine
March 12, 2019WORKS IN PROGRESS – SPRING 2019
Decoding DNA
On the hunt for the genetic roots of mental illnesses
By Marcus Banks | March 4, 2019
QT:[[”
The model, a form of artificial intelligence, aims to use abstract knowledge gained in the research lab to improve clinical treatments for real patients. The ultimate goal, says Gerstein, is to use the model to develop pharmaceutical treatments that reduce the impact of schizophrenia. Part of the challenge in developing drugs to treat the disease is the fact that it is not a one-size-fits-all condition. “]]
Explore the NIST Privacy Engineering Collaboration Space
March 10, 2019QT:[[”
the launch of the NIST Privacy Engineering Collaboration Space! The collaboration space is an online venue open to the public where practitioners can discover, share, discuss, and improve upon open source tools, solutions, and processes that support privacy
engineering and risk management. We have launched the space with a focus on de-identification and privacy risk management tools and use cases, gathered via GitHub for collaboration purposes.
“]]
https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space
UMAPs
March 2, 2019A lineage-resolved molecular atlas of C elegans embryogenesis at #singlecell resolution, w/ @JIsaacMurray, @JunhyongKim, @ColeTrapnell & B Waterston https://www.BiorXiv.org/content/10.1101/565549v1 Compares the known cell lineage of the worm to trees based on UMAP cell-type clusters. Remarkable agreement
linkstream2 microblog 