Ashley Akerman

🚨New Publication Alert: Our Landmark Study Published in the European Heart Journal! We’re proud to share that our latest study demonstrates that EchoGo® Amyloidosis, Ultromics’ FDA-cleared AI tool, significantly improves the detection of cardiac amyloidosis using a single echocardiographic video clip. 🫀 Cardiac amyloidosis is a frequently missed, life-threatening cause of heart failure. As new disease-modifying therapies emerge, early and accurate detection is more important than ever. 💡 EchoGo® Amyloidosis is: 💙 The first FDA-cleared AI screening tool for cardiac amyloidosis 💙 Granted Breakthrough Device designation 💙 Validated in a large, multi-center, international study (n = 2,719) 💙 Highly accurate with 85% sensitivity and 93% specificity across AL, ATTRwt, and ATTRv 💙 Demonstrated superior performance vs traditional scoring systems 🌍 The study involved 18 leading global centers including Mayo Clinic, University of Chicago, Brigham and Women’s, Columbia and more. This breakthrough shows the potential for AI to help clinicians detect cardiac amyloidosis earlier, differentiate it from similar conditions like HFpEF or hypertrophic cardiomyopathy, and expand access to life-changing therapies. This is another important milestone for @ultromics as we continue to transform cardiovascular care with AI — not just through EchoGo® Amyloidosis, but also through our EchoGo® Heart Failure platform. 🔗 Full Publication: academic.oup.com/eurheartj/adva… With gratitude to our incredible collaborators: @pattypellikka @JSlivnickMD Will Hawkes @sarahcud @DocStrom @AshleyAkerman And a heartfelt tribute to the late Roberto Lang, whose leadership and vision helped make this work possible. His legacy continues through innovations like this ❤️ @ESC_Journals @escardio @ASE360 #EHJ #Echofirst #CardiacAmyloidosis #HeartFailure #AIinHealthcare #MedTech #Cardiology #DigitalHealth #EchoGo #Ultromics #Innovation #HFpEF #CardiovascularAI

New publication in @NatureComms (rdcu.be/ee1lL), the result of a 2-year collab with @ultromics to compare an #AI model to identify #HFpEF using a single 4CH #EchoFirst clip vs. clinical scores. #Tweetorial (?Xtorial) to follow. @SmithBIDMC @ASE360 @BidmcCvi

New in @NatureComms from @robertdmeade and all-star cast 🤩: Meta-analysis of heat-induced changes in cardiac function from over 400 laboratory-based heat exposure studies @HEPRU_uOttawa 👇 nature.com/articles/s4146…

"Most scientific studies are wrong, and they are wrong because scientists are interested in funding and careers rather than truth." blogs.bmj.com/bmj/2013/09/09… Science linking genes with particular diseases - "only in 1.1% of cases was the linkage true."

Catching up on the @ACCinTouch ACCEL Podcast and was thrilled to hear @ChrisKramerMD and @a_l_bailey discuss our #HFpEF paper in their 2023 review. Listen here: acc.org/Latest-in-Card… @AshleyAkerman @pattypellikka @ultromics @MayoClinicCV @ASE360 #echofirst #AI

Our latest out now in @EHPonline: "Effects of Daylong Exposure to Indoor Overheating on Thermal and Cardiovascular Strain in Older Adults: A Randomized Crossover Trial". 🔥🔥 @AshleyAkerman @seannotley @nathaliekirby @HEPRU_uOttawa ehp.niehs.nih.gov/doi/10.1289/EH…

NEW RESEARCH: Effects of Daylong Exposure to Indoor Overheating on Thermal and Cardiovascular Strain in Older Adults: A Randomized Crossover Trial ➡️ ow.ly/S7iH50Qzhrj @robertdmeade @AshleyAkerman @seannotley @nathaliekirby @HEPRU_uOttawa

Recruitment for 2024 is still open. Submit an expression of interest here: midlandsmhndtp.ac.uk/applications/2… @SamLucas_PhD @JetVvanZanten @UBSportExR

Rationale and design of the United Kingdom Heart Failure with Preserved Ejection Fraction Registry heart.bmj.com/content/early/…

The @cards_lab is growing. We're recruiting for many roles: (1) Clinical postdoctoral fellow (2) Computational postdoctoral fellow (3) Data Scientist (4) Program Coordinator Find out more here: 🔗cards-lab.org/join-the-team Please share with your network! @YaleMed @Yale

Fully funded PhD opportunity with me @JoeCostelloPhD and @MattDicks7 🏔️ ‘Optimising the selection, preparation, and protection of individuals exposed to high altitude environments’ 🏔️ port.ac.uk/study/postgrad… Deadline: 19/01/24 Start: Oct 24 📧: Thomas.williams@port.ac.uk

Automated LV volume and strain assessment using AI analysis software predicts adverse events in patients with chest pain. @ultromics continues to lead technological advancement in the automation of echo imaging adding significant clinical impact doi.org/10.1111/echo.1…

Tenure-Track Assistant Professor position in Cardiovascular Exercise Physiology - UBC and St. Paul's Hospital ubc.wd10.myworkdayjobs.com/ubcfacultyjobs…

@DrXiaoLiu We are too. PROTEUS should be complete by the end of the year. sciencedirect.com/science/articl…

UK #AI #ML in #healthcare folks: Could you tell me who is doing prospective clinical #evaluations of AI products in the UK right now (observational trials, RCTs, silent trials, etc)?

Upper-limb HIIT ⬆️ VO2peak by 16% and both HIIT and heat therapy ⬆️ anaerobic threshold ~10% in patients with osteoarthritis prior to hip/knee replacement 🦵@otago @heartotago Read more about our RCT here: doi.org/10.1002/acr.25…

Fully funded PhD opportunity at @LJMUSportSci @LiverpoolCCS investigating different lifestyle modification (e.g. diet/exercise/diet+exercise/control) on hypertension and physiological measures of cardiovascular health findaphd.com/phds/project/m…

🔥 BREAKING 🔥 @MkosiborodMD from @MidAmericaHeart ❇️STEP-HFpEF, semaglutide Obesity-phenotype HFpEF 🔆 Dual primary endpt. achieved 1. 🔼 health status (KCCQ) 2. 🔽 weight 3. 🚶 🔼 walk distance 4. Reduced NTproBNP The beginning of a new era of therapies for this phenotype

@David_Ouyang @DrRossUpton This discourse might have run its course; perceived “gotcha” moments aren't productive. You're more interested highlighting there might be a bias, which we’ve acknowledged, but not engaging with its impact, which we’ve tested.

@David_Ouyang @DrRossUpton The presented analyses highlight that when potential bias in age is considered by matching (ST3) or accounting for age in modelling, the performance is still acceptable, and the model useful in detecting important clinical outcomes.

@DrRossUpton Thanks for the feedback and I hope neither to be flippant nor unkind with the analysis. We all want to do good science and impact patients. @AshleyAkerman, you mention you think there is no interaction with age. With only simulated data based on SD and mean, I get a pretty low p-value from the Table 2 data. I'll take a closer look at the supplement, but would you be open to sharing the individual level data?