John Lock

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John Lock

John Lock

@locusJ

Cancer Systems Microscopy Lab, @UNSW. Imaging-based single cell systems biology mapping heterogeneity to understand cancer cell biology.

Randwick, Sydney Katılım Aralık 2009
902 Takip Edilen408 Takipçiler
John Lock
John Lock@locusJ·
I've always loved the interface of art & science. @GarvanInstitute are doing this so well. It's such a great way to start a conversation & make the complexity of scientific image data appealing & accessible. Maybe @UNSWMedicine @artdesignunsw to up the ante? Science-Art Collab?
Garvan Institute of Medical Research@GarvanInstitute

The Art of Discovery exhibition is now open! 11-22 Aug, 2-5pm @GarvanInstitute. Immerse yourself in a free illuminated art exhibition, or explore the gallery online & vote for your favourite. ow.ly/CjTj50WCFIb

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John Lock
John Lock@locusJ·
@felkohdigital wrote a beautiful popular science piece about how AI is advancing the inference of molecular function from analysis of cellular form, i.e. image-based phenotyping. If you want to explain your #HCS project to a friend, this might help! @unsw tinyurl.com/4ne8vcaj
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Anne Carpenter, PhD
Anne Carpenter, PhD@DrAnneCarpenter·
Have $10M and want to cure some diseases? It costs ~$1B to invent a new medicine…but $10M buys you Project Encore, to see if ANY existing drug might be repurposed for ~100 diseases that have no treatments. Contact me - be a hero for desperate patients! docs.google.com/document/d/1dM…
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John Lock
John Lock@locusJ·
@SamStehbens Consider it considered... The thing I've always liked about this photo @SamStehbens is what I interpret as the awed expression on your face. Other interpretations not considered...
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John Lock
John Lock@locusJ·
Excited to share Cancer Systems Microscopy lab @UNSWMedicine multiplexed imaging (60+ markers/cell) for #EMT research & #CTC phenotyping from #liquidbiopsy, + extensible immunofluorescence (ExIF) for ♾️ computational multiplexing via routine 4-plex IF. tinyurl.com/36x7eu6w
ニコンソリューションズ/バイオサイエンス@nikonsolutions

10/15(火)14時~開催📣 「Nikon Asia Pacific Life Science Webinar」 【演題】Towards Precision Medicine with Systems Microscopy 【演者】Dr. John Lock @locusJ(ニューサウスウェールズ大学) ※本ウェビナーは英語講演です ▽お申込みはこちら events.zoom.us/ev/AilVvwFmO8m… #Nikon #顕微鏡

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Greg Bodwin
Greg Bodwin@GregBodwin·
In academia you sometimes have to work 7 days a week, but the freedom to choose which 7 days is unparalleled
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Fabian Theis
Fabian Theis@fabian_theis·
Its flexible encoding allows Prophet to predict genetic perturbations, small molecules & treatment combinations within one model. It scales w data, improving as it learns. Interestingly, learning across phenotypes boosts results, like using IC50 or RNA data to infer morphology.
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Fabian Theis
Fabian Theis@fabian_theis·
By leveraging transfer learning across various phenotypes, Prophet allows in silico prediction of unseen perturbations in unseen biological contexts to predict which experiments are more likely to succeed - reducing the number to perform by up to 60x in the IC_50 example below.
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Fabian Theis
Fabian Theis@fabian_theis·
Thrilled to share our „PRedictor Of PHEnoTypes“ model Prophet! Led by @Alejandro__TL & @_yji_, Prophet is a transformer-based model that predicts outcomes for unseen experiments. It aims to understands biology by learning across assays and phenotypes over 4.7M+ experiments.
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