I am very excited to share that our(@GersteinLab) paper was recently published in Cell! 🎉☺️ https://t.co/NMfc4JwrhQ had a lot of fun creating two versions of covert art for our paper: which one do you like more?

Yale researchers led by @MarkGerstein @JasonJLiu @beaborsari processed smartwatch data ⌚️ from adolescents, extracting "digital phenotype" to train AI models 💻 that better predict psychiatric illnesses and identify related genetic factors 🧬 https://t.co/19IaEpLX1r

Just found out that we have an immediate postdoc opening for US nationals (citizens/green-card holders). Needs to be filled within 6 months. Lots of fun topics (e.g. biosensors, brain genomics, AI for bio, &c). If interested, see https://t.co/wBarK2up6y & contact me.

ICYMI: Prof. @MarkGerstein, discussed with @WTNH to discuss how smartwatch data could provide valuable insights into psychiatric illnesses, following the sale of 180 million smart watches last year. https://t.co/W9gj4m8N6y @GersteinLab @YaleMed @YaleMBB

Using smartwatches could help us better understand psychiatric illness. Wearable sensors that continuously collect physiological data may be powerful tools in the effort to better understand conditions like ADHD and anxiety, as well as their genetic drivers, a new Yale study

Now online! Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations

Excited to share our new paper in @CellCellPress on Digital Phenotyping from Wearable Biosensors using AI to characterize Psychiatric Disorders & identify Genetic Associations (led by @JasonJLiu & @beaborsari) https://t.co/8noL0y9wqp

Also thanks to @_YunyangLI, @Susannaliu99, Y Gao, X Xin, S Lou, @JensenGenetics, D Garrido, T Verplaetse, @DrGarrettAsh1, @JingZhang_bio, @MattGirgenti, W Roberts @YaleCBB, @YaleMBB, @YaleBIDS, @YalePsych, @YaleCSDept, @GersteinLab, @YaleData, @UCIrvine, @UniBarcelona & @NIMHgov

Congratulations to @JasonJLiu , PhD Candidate in the Computational Biology and Biomedical Informatics (CBB) program, on successfully defending his dissertation, “A Multi-modal Approach to Precision Medicine: Bridging the Gap Between Genetics and Disease Using Genomics and

New study conducted by our lab in collaboration with #PsychENCODE has made significant discoveries linking genetic variants to genes and cell types in human brain. #psychencode24 For more details, refer to our original thread: https://t.co/dz0P7ddEWP https://t.co/WT4QDUGJl4

This week in Science, @ScienceAdvances, and @ScienceTM, the #PsychENCODE Consortium lay out findings based on examining human brains at the single-cell level. Learn more: https://t.co/O1NCcM6zV8 #DecodingTheBrain

@NIMHgov @GeschwindLab @umassmed_zlab @ZhipingWeng @martinowk @lcolladotor @kr_maynard @hyejung_won @MattGirgenti @LabRoussos @CLiu_Upstate @NikosDaskalakis @manoliskellis @panos_roussos ... and @Cheyujlee @JingZhang_bio @daifengwang @YaleCBB @GersteinLab @YaleData @hoondy @mikejg84 @JasonJLiu @JensenGenetics @YanXia_CSU @RanMeng_m @cloudcs16 @MichaelGancz @NicoleAShedd @colabobio @ed_lein1 @g_chen @_YunyangLI

Great thanks to the PsychENCODE consortium organized by @NIMHgov with specific acknowledgment to @geschwindlab @umassmed_zlab @ZhipingWeng @martinowk @lcolladotor @kr_maynard @hyejung_won @MattGirgenti @LabRoussos @CLiu_Upstate @NikosDaskalakis @manoliskellis @panos_roussos...

New paper on single-cell genomics & regulatory networks for 388 human brains just out in @ScienceMagazine. Neat stuff on single-cell QTLs, cell-to-cell communication, & DL models simulating drug effects ( https://t.co/4paOy63nOu) #PsychENCODE24

Our stakeholder panel @Yaledata @MarkGerstein @NEACSM @EFSMA_eu discusses need for global guiding standards on device quality and data formatting in consumer sport and fitness wearables. Identifies benefits, priorities, strategies.

Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions, out now in @PLOSCompBiol. @JasonJLiu, @dspakowicz, @MarkGerstein. https://t.co/t8Sxrl7Z1A #wearables