We research, consult & develop AI systems for ambitious companies. Passionate about technology & opportunities to transform industry, enterprise and healthcare
Does cancer screening work? Analysis in BMC Health demonstrates staggering ($trillion) value of screening in US.
🏥Prostate screening could add $360-420bn on same (conservative, $150k VLY) basis, making the case for screening stronger than ever.
Paper: https://t.co/SfuGItEVdf
Our CTO Mark Hinton will be presenting this paper at #ECR2022
See him speak in Vienna between 08:00 - 09:00 on 13 July #radtwitter#AI_CI
Read the paper: https://t.co/AMxyEZmPFx
Over the last few months we've met several people who doubted whether #healthcare#ai companies could reach unicorn valuations.
We count 4 on this list: Biofourmis, Clarify Health, Oura Health, Viz AI https://t.co/IYbnGMg6eL
We're hugely looking forward to presenting our technology to find cancer precisely in MRI scans at @GIANT_health later this month.
To find out more, please get in touch direct via https://t.co/8qWGhXeSnn or see us on the 30th!
I'm absolutely delighted to introduce @MarkDBH, who has joined @LucidaMedical as CTO to develop our #AI solutions to help streamline #cancerdetection.
Hugely looking forward to working with Mark, Prof @EvisSala and our amazing colleagues and partners
.@LucidaMedical is hiring developers/researchers with Python, deep learning/machine learning & medical imaging experience to help find cancer early. Great opportunity to join our #Cambridge startup co-founded by Prof @EvisSala and Dr @AWRix
https://t.co/A8eDDgb1LL
Lucida Medical is hiring people with Python, deep learning/machine learning and medical imaging experience to help find cancer early. Great opportunity to join this well-funded #Cambridge startup co-founded by Prof @EvisSala and Dr @AWRix https://t.co/m3e9oWJ0hY
Delighted to announce a major investment led by XTX Ventures @xtxmarkets & @PCR_News. Co-founded by Prof @EvisSala & @AWRix, this funding will support @LucidaMedical's key clinical studies & regulatory approvals for our #AI cancer image analysis tech
https://t.co/xA7RTxbKxD
Great to be working with @xtxmarkets@PCR_News@UCamEnterprise@radiology_UOC@CUH_NHS & our wonderful hospital partners & advisors.
Our goal is to make cancer screening, diagnosis & treatment accurate & fast with #AI-based software, to deliver patients the best possible care
Full session will be available on-demand https://t.co/wWW8EVOHxS (note: registration required, current technical issues).
Extended version of similar presentation from @EuSoMII 2020 is free to view at https://t.co/FXoutKo7UL, with paper
Hugely looking forward to #ECR2021: @AWRix will present our work to help make prostate cancer diagnosis accurate & fast
h/t @ProfPadhani@Tristan_Radiol@EvisSala
Live 3 Mar 2021 08:00 CET + online during conference
https://t.co/0hXuRtXnb3
Fascinating research from @EvisSala@markowetzlab@mireiacrispin@RamonaAW1 & team @radiology_UOC@CRUK_CI in ovarian cancer. Smartly targeting different regions for biopsy helps map tumour biology & optimise precision treatments to benefit patients https://t.co/BbkR2h7ss9
@LucidaMedical@sanjaymp9@SignifyResearch Tremendous to see this market analysis on clinical use of AI.
Medical imaging AI and deep learning-based algorithms are now proving their clinical benefits for patients.
@SignifyResearch highlight that the cost-benefits are driving $$$.
Great nuggets from new assessment by @sanjaymp9 & @SignifyResearch:
"The world market for AI-based clinical applications for use in medical imaging is set to reach almost $1.5 billion by 2024"
"...peak annual growth rate of 44% forecast for 2022".
More at:
https://t.co/rBB7MwqysX
An excellent new example of AI proving value in healthcare: Viz AI helps identify and treat stroke patients early, saving money and improving clinical outcome.
Reimbursement of novel health interventions is hard, so the policy change behind this is a big deal.
Thread of links:
MRI enables accurate diagnosis of prostate cancer, improving biopsy rates, early detection & treatment
Exciting research by @eldredevans@IP_London@HemmySokhi@ProfPadhani et al shows its potential value for screening, essential to reduce late diagnoses
https://t.co/WNM007hJzt