James Evans

Postdoctoral research fellow at UCL Queen Square Institute of Neurology and the Francis Crick Institute. Former musician.

[James Evans @evansrjames]

Very excited to share our latest work published in @NatMachIntell. We used ipsc-derived neurons, high-throughout imaging, and machine learning approaches to predict Parkinson’s disease subtypes.

https://t.co/g4R6L6adgo

[The Francis Crick Institute @TheCrick]

The @LabGandhi team took part in an intensive coding course when the pandemic disrupted their research – and now they’ve published work with @faculty_ai showing that computer models can classify types of Parkinson’s from images of stem cells 🧠

@UCLIoN https://t.co/FkyZvrBFaC

[James Evans @evansrjames]

Out now on biorxiv! Excited to share our latest collaborative work investigating the earliest stages of Parkinson’s disease.

https://t.co/CFDoYmYHq4

Thanks to all the amazing co-authors Melissa Grant-Peters Joseph Beckwith Steven Lee Mina Ryten @LabGandhi

[bioRxiv Neuroscience @biorxiv_neursci]

Microglial activation and alpha-synuclein oligomers drive the early inflammatory phase of Parkinson's disease https://t.co/fMXb8hElqQ #biorxiv_neursci

[bioRxiv Cell Biology @biorxiv_cellbio]

VP-CLEM-Kit: An accessible pipeline for visual proteomics using super resolution volume correlative light and electron microscopy ... https://t.co/OxbydQPeZk #biorxiv_cellbio

[James Evans @evansrjames]

Really exciting to be involved with this work! Congrats @EM_STP and team!

[James Evans @evansrjames]

@maffeibenito @UniversityLeeds @ScienceLeeds Congratulations Benito!

[The Science of Parkinson's @ScienceofPD]

New research suggests nonlysosomal roles for #Parkinsons-associated GBA1 & its highly homologous pseudogene GBAP1 "with implications for our understanding of the role of GBA1 in health & disease" - from @em_ka_gu et al; Concealment of GBA1 by GBAP1
https://t.co/1aooz5W3Q6

[Christian Lambert @clambert112358]

Exciting multiscale post-doc opportunity in #Parkinsons @WCHN_UCL & @TheCrick:

Combining individual specific cell models @LabGandhi with longitudinal qMRI in the same person to define mechanisms of progression 

See link for details:

https://t.co/cuuFkBDsiL

@OHBM #OHBM2024

[Liz Tseng @Magdoll]

Targeted @PacBio Iso-Seq identifies novel SNCA transcripts in human dopaminergic neurons, many with novel UTRs and encodes novel peptides, and used to design antisense oligonucleotides (ASO) leading to the effective reversal of Parkinson's Disease (PD) pathology

https://t.co/oAVjSb0yfO

[James Evans @evansrjames]

@mgrantpeters Congratulations, Melissa! 🥳

[Flora Carr @floracarr_]

Very surreal to see THE TOWER pictured inside Barnes & Noble on Fifth Avenue 🏰🗽

Thank you for the photos, @evansrjames

#TheTower #MaryQueenOfScots @BNBuzz

[Flora Carr @floracarr_]

A friend of mine is in San Francisco and paid a visit to the iconic independent bookstore @citylightsbooks… and spotted THE TOWER inside! 🏰

The shop is a city landmark and known for publishing Allen Ginsberg's ‘Howl’.

[James Evans @evansrjames]

@mrcppu @Raja_Nirujogi @AnneRowlClinic @EuansCentre @UKDRI Congratulations @Raja_Nirujogi! 🥳

[Pluchino lab - Regenerative Neuroimmunology @Pluchinolab]

Combined small-molecule treatment accelerates maturation of human pluripotent stem cell-derived neurons | Nature Biotechnology https://t.co/I3tytiJWEn

[Rory Cellan-Jones @ruskin147]

Head spinning after a brilliant morning at the Francis Crick Institute meeting Prof Sonia Gandhi and her team who are mapping the Parkinson’s brain.

[Nature Portfolio @NaturePortfolio]

Machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells, reports a study published in @NatMachIntell. https://t.co/E6bjsjPlqj

[UCL Brain Sciences @UCLBrainScience]

"We now hope to expand this approach to understand how these cellular mechanisms contribute to other subtypes of Parkinson’s."

James Evans @evansrjames (@UCLIoN) on a new study involving @LabGandhi and the @TheCrick.

Read in @Independent ⬇️ https://t.co/mupvsc88f8

[UCL Brain Sciences @UCLBrainScience]

Machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells, finds a new study by researchers at UCL and the Francis Crick Institute.

@LabGandhi @evansrjames @UCLIoN @TheCrick

Read more ⬇️ https://t.co/jG5e9HgJAr

[James Evans @evansrjames]

A great collaborative effort from @LabGandhi @GurvirVirdi @DilanAthauda @MineeChoi @faculty_ai @MathewHHorrocks @EdBiophysics

[James Evans @evansrjames]

Very excited to share our latest work published in @NatMachIntell. We used ipsc-derived neurons, high-throughout imaging, and machine learning approaches to predict Parkinson’s disease subtypes.

https://t.co/g4R6L6adgo

[The Francis Crick Institute @TheCrick]

The @LabGandhi team took part in an intensive coding course when the pandemic disrupted their research – and now they’ve published work with @faculty_ai showing that computer models can classify types of Parkinson’s from images of stem cells 🧠

@UCLIoN https://t.co/FkyZvrBFaC

[James Evans @evansrjames]

@Raja_Nirujogi @TheCrick @LabGandhi @faculty_ai @UCLIoN @GurvirVirdi Thanks Raja!