Stephen Master retweeted
#WeArePediatricians, and like Dr. Master, we always make sure that our patients feel safe to voice their health concerns to us. No matter their age, our job is to make sure kids feel empowered to open up to us and help shape their health journey.
Stephen Master retweeted
@US_FDA has shown renewed interest in regulating LDTs. Recent study at an academic lab estimated that this will affect 3.9% of overall tests done. In this letter @AJCPjournal, I explain why that’s a gross under-estimation
#PathTwitter #LabMedTwitter
👇
nam12.safelinks.protection.o… – at New Haven, CT
Congratulations to Joe El-Khoury (@ClinChemJoe) for receiving the @IFClinChem Young Investigator award!
Stephen Master retweeted
U.S. law requires medical test results to be released to patients "without delay." This means doctors and patients often get results simultaneously, and some people are learning about life-altering diagnoses like cancer on their phones, without context. nyti.ms/3y9kmxS
Absolute travesty. To this day I still remember things I learned as an undergrad taking Maitland Jones’ Orgo class (before he was at NYU). Yes, of course it was hard. So great, though!
NYU dismissed a chemistry professor after students said his class was too hard, igniting a debate about the relaxing of academic standards. nyti.ms/3UVGyFp
Stephen Master retweeted
Congratulations to AACC member Dr. Yuk Ming Dennis Lo, who has won the distinguished 2022 Lasker-DeBakey Clinical Medical Research Award for discovering fetal DNA in maternal blood. ow.ly/lKwq50L04XN
Stephen Master retweeted
Increased testing demand coupled with falling reimbursement doesn't add up for clinical labs. When low payment rates lead to staff reductions and work overload, it’s patients that suffer. See how AACC advocacy in action is making a difference. aacc.org/reimbursement
Tomorrow a great friend and colleague, @SHaymondSays, begins her term as 2022-23 @_AACC President. I am excited to see the great things that she will accomplish as we move towards our 75th anniversary meeting next year. Congratulations, Shannon—we’re all with you!
Dr. Ruben Luo, 2022
George Grannis award winner, presents to the AACC Academy about his work on top-down mass spectrometry to detect clinically relevant proteoforms. #2022AACC.
Stephen Master retweeted
Dr. David Grenache accepts the Past President Award from AACC President Dr. Stephen Master during the #2022AACC opening plenary session. Learn about all this year's awardees: bit.ly/3OAjjMy
Stephen Master retweeted
Opinion: "How Can We Ensure Reproducibility and Clinical Translation of Machine Learning Applications in Laboratory Medicine?" by @SHaymondSays & @srmaster
Link: buff.ly/3pKR9VG
#PathTwitter #LabMed #Pathology #ArtificialIntelligence
For full recommendations, visit link
Stephen Master retweeted
AACC is pleased to announce that Dr. Jason Park has been named Editor-in-Chief of AACC’s flagship journal, Clinical Chemistry, effective January 1, 2023. More: ow.ly/nbhY50I1rPp
Stephen Master retweeted
News & Views: Congratulations to Y.M. Dennis Lo, who received the Royal Medal!
Link: buff.ly/3qTZG8E
#awards #PathTwitter #Laboratorymedicine #pathology
Stephen Master retweeted
AACC and other groups are urging the Clinical Laboratory Improvement Advisory Committee to review lab-developed test regulation, given that LDTs are regulated under CLIA. Read AACC's letter: ow.ly/3Gsy50GLAsE
Stephen Master retweeted
#pathtwitter showing my bias that CP/Clinical Chemistry should not be considered the stepchil of pathology @DrSMBean @DxSteward - One gets out of residency what one put into residency and with AP training probably consistent across most programs; I offer this for consideration
Stephen Master retweeted
Ready to join the AACC community? Our International Membership Grants are available to early and mid-career clinical laboratorians outside the U.S. and Canada. Applications are due December 31. Learn more: ow.ly/ncSx50GwuSS
Stephen Master retweeted
Apparently 42 years to the day since the Hitchhiker's Guide to the Galaxy was published. Retweet if you appreciate the significance @Asimovs_SF @Analog_SF @UncannyMagazine
Stephen Master retweeted
AACC leadership give a thumbs up encouraging attendees to participate in the AACC COVID-19 Immunity Study. Learn how to join in this important research at #2021AACC ow.ly/BIKx50Gi1Cc
Stephen Master retweeted
An overall lack of recognition for the invisible, arduous, & taken-for-granted data work in AI leads to poor data practices, resulting in data cascades (negative, downstream events)... “Everyone wants to do the model work, not the data work” 1/
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![Incentives and currency in AI An overall lack of recognition for the invisible, arduous, and taken-for-granted data work in AI led to poor data practices, resulting in the data cascades below. Care of, and improvements to data are not easily ‘tracked’ or rewarded, as opposed to models. Models were reported to be the means for prestige and upward mobility in the field [112] with ML publications that generated citations, making practitioners competitive for AI/ML jobs and residencies. “Everyone wants to do the model work, not the data work” (P4, healthcare, India). Many practitioners described data work as time-consuming, invisible to track, and often done under pressures to move fast due to margins—investment, constraints, and deadlines often came in the way of focusing on improving data quality. Additionally, it was difficult to get buy-in from clients and funders to invest in good quality data collection and annotation work, especially in price-sensitive and nascent markets like Ea](https://pbs.twimg.com/media/E9HTDRhVIAEaHaa.jpg?name=orig)
ALT Incentives and currency in AI An overall lack of recognition for the invisible, arduous, and taken-for-granted data work in AI led to poor data practices, resulting in the data cascades below. Care of, and improvements to data are not easily ‘tracked’ or rewarded, as opposed to models. Models were reported to be the means for prestige and upward mobility in the field [112] with ML publications that generated citations, making practitioners competitive for AI/ML jobs and residencies. “Everyone wants to do the model work, not the data work” (P4, healthcare, India). Many practitioners described data work as time-consuming, invisible to track, and often done under pressures to move fast due to margins—investment, constraints, and deadlines often came in the way of focusing on improving data quality. Additionally, it was difficult to get buy-in from clients and funders to invest in good quality data collection and annotation work, especially in price-sensitive and nascent markets like Ea