Researchers will recruit 900 patients for new clinical study on long-COVID, led by @LabHeath at @isbsci. Other investigators include @HelenChuMD@UWMedicine and Dr. Jason Goldman at @Swedish
https://t.co/9wEyDqgRbj via @GeekWire
As part of a nationwide effort to understand #LongCovid, @isbsci is leading a multi-site Pacific Northwest consortium as part of the @NIH-funded RECOVER initiative. @Swedish @providence@UWMedicine@LabHeath https://t.co/fC1eyEkNYT
Our recent research on #LongCovid continues to make headlines. Check out this article from Emily Sohn, @NatGeo https://t.co/2nvfDHHr9y @SuYapeng, @LabHeath, @fredhutch, Jason Goldman
What predicts long-COVID? Study led by Seattle researchers at @isbsci provides some answers. Thank you to @LabHeath for the interview. https://t.co/AyKgIQcqbc via @GeekWire
Longitudinal multiomics associate long-COVID sequalae with viremia, presence of autoAbs, and comorbities (T2D). Reactivation of latent viruses (#EBV) during CoV-2 and post-infection expansion of CTL implicated. @SuYapeng & Yuan & Chen Goldman/Heath labs
https://t.co/Gik5317q7Y
An important early look at factors associated with development of long COVID. Thanks #HAARVI participants for your role. It was a pleasure to collaborate with @labheath, Jason Goldman, and @isbsci on this work.
Can scientists predict a person’s risk for developing long Covid? A new study found four biological factors that could be identified early and that correlated with whether people had lingering symptoms two or three months later. https://t.co/caoCJ0Zv9s
Dr. Jim Heath's (@LabHeath) team at @isbsci has identified several factors that can predict if a patient is likely to develop #LongCOVID. 🩺
Read about the implications of their findings here: 📌 https://t.co/zuYm0gZAR3
An @isbsci -led study published by @CellCellPress has identified several factors that can predict if a patient is likely to develop #LongCOVID. See our story and video describing this work ⬇️ @SuYapeng@LabHeath @swedish @providence https://t.co/LicyWhLmH4