Big Picture Medicine

Big Picture Medicine

By Mustafa Sultan
What’s the future of Medicine? Find out from the trailblazers who are shaping it. Lots of insight into MedTech, bringing an idea into fruition and habits that have made these leaders successful. Think MedTech meets the Tim Ferris Show. Subscribe for weekly episodes.
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#016 Medical Cannabis 101 — Dr Benjamin Viaris de Lesegno CMO Cellen
Cellen is bringing medical cannabis to UK patients. I spoke to Dr Benjamin Viaris de Lesegno who is a French-trained NHS doctor as well as the co-founder and CMO of Cellen. The first half of this conversation covers the landscape of medical cannabis in the UK and its clinical need. We then talk about Benjamin's advice for fellow doctorpreneurs — and why 45 might be the best age to found your startup. Harvard Business Review article mentioned: https://hbr.org/2018/07/research-the-average-age-of-a-successful-startup-founder-is-45 —————— Find Benjamin: Cellen: https://www.cellenhealth.com LinkedIn: https://www.linkedin.com/in/benjamin-viaris-de-lesegno-52833161/ You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
33:58
June 28, 2020
#015 Medical Student Entrepreneurship — Dr Harvinder Power CEO Motics
How do you run a successful startup and code academy — all whilst completing your final year at Imperial College Medical School? Harvinder Power is the co-founder and CEO of Motics — a company which brings physiotherapy into the digital era. He was the winner at the Kickstart Global Incubator, the McKinsey Venture Academy, the UCL VC Fund amongst many other accolades. In this conversation, I tease out the trials and tribulations of a medical student entrepreneur. We talk about how he started Motics, how you convince patients to do something they're not doing and what medics can learn from engineers and marketers. —————— Find Harvinder: LinkedIn: https://www.linkedin.com/in/harvinder-power-70800b124/ Motics: https://www.motics.co.uk CodeMD: https://www.codemd.co.uk You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
20:39
June 21, 2020
#014 Ali Abdaal on Building a YouTube Empire, Personal Branding and Passive Income as a Medic — Dr Ali Abdaal®
Ali has reached medic nirvana. He has over 770,000 YouTube subscribers, a successful business (6med), one of my favourite podcasts (Not Overthinking It) and is an all round wise man. He's managed to diversify so that Medicine is not his livelihood — it's a hobby he can approach on his own terms. His content started with advice for prospective and fledgling medical students — although he has now expanded into tech, productivity and entrepreneurship. You're going to love this episode if you're a wannabe creative, entrepreneur or want to get out of Medicine's rat race and play your own game. I've been chasing Ali for a long time because I knew he would provide so much value. He doesn't disappoint. —————— Find Ali Website/Newsletter: https://aliabdaal.com YouTube: https://www.youtube.com/user/Sepharoth64/videos Not Overthinking It Podcast: https://www.notoverthinking.com Instagram: @AliAbdaal // Twitter @AliAbdaal You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
52:34
June 14, 2020
#013 Quit Genius: Medical Student to Y Combinator, 1 Million Users and Silicon Valley — Dr Sarim Siddiqui Co-Founder and Head of Product
How do you convert an idea in medical school into a company that just raised $11M and has over 1 million users? Sarim, Yusuf and Maroof were three medical students at Imperial College London. They wanted to help people quit smoking  by delivering gold-standard addiction therapy digitally. Fast forward to today and they’ve expanded across the Atlantic and have over 1 million users, as well as becoming a multi addiction platform tackling smoking, alcohol and opioid addiction. We talk about Sarim's story, how to bring an idea into fruition and his advice for entrepreneurial medics.  —————— Find Sarim LinkedIn: https://www.linkedin.com/in/sarim-siddiqui-64b4b8103/ QuitGenius: https://www.quitgenius.com You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
35:18
June 6, 2020
#012 Management Consulting for Medics, Digital Health and Why You Need a Performance Coach — Dr Charlotte Lee Big Health
What's management consulting really like (all expensed trips to Vegas)!? How do you get your digital health solution into the NHS? And why do so many world-class performers have a performance/executive coach? This week's episode was a lot of fun, and you're going to love it if you want to hear advice from a super accomplished doctorpreneur. Dr Charlotte Lee is the UK director at Big Health, who generate $10M in revenue and are helping millions achieve good mental health — digitally. They have 12 RCTs under their belt, and are most famous for Sleepio, which digitally delivers CBT for insomnia. In a former life, Charlotte was a medical doctor, Darzi Fellow and management consultant at KPMG. —————— Find Charlotte  LinkedIn: https://www.linkedin.com/in/charlottelee/ Twitter: https://twitter.com/DrChar_Lee Big Health: https://www.bighealth.com You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
38:19
May 30, 2020
#011 Validation over Valuation: An Oncologist's Battle Against Babylon Health — Dr David Watkins aka @DrMurphy11
Isn't it strange when everyone is raving about something — but you just — don't get it? That's the position Dr David Watkins (@DrMurphy11) found himself in in 2017. Babylon had launched in the UK and promised to provide the powers of AI and telemedicine to the NHS. Babylon lets you video consult with a doctor, often on the same day. This was slightly controversial, but not compared to its other head. Babylon had developed a sophisticated chatbot AI. After a game of 20 questions, the chatbot would suggest a diagnosis — although crucially (from a regulatory point of view) it wouldn't diagnose you. You would then be directed (triaged) to appropriate care. Mild headache and flu-like symptoms? No problem! Stay at home and take paracetamol. One-sided weakness and slurring your words? Call 999 🚑 Dr Watkins installed the app and began testing it. The details of this testing are disputed — Babylon who refer to him as a 'troll' claim that he ran 2400 tests, Dr Watkins claims just hundreds. More insidiously, Dr Watkins began to notice mistakes the chatbot was making — mistakes that no doctor would ever make. In one test, a 59-year old male smoker presents with central chest pain and nausea. Cookie-cutter symptoms of a heart attack, and he is duly warned. The exact same situation but this time, the patient is a woman— She is warned of a panic attack. This week's podcast is the story of Dr Watkin's battle against Babylon Health.* *Views expressed are those of Dr Watkins'* This week's episode presents a single side of the story. For context, Babylon have done a lot of good in the world. They've brought affordable healthcare to Rwanda, created a clinical AI fellowship for doctors and generally offer lucrative remote working opportunities.  —————— You can find Dr Watkins on Twitter @DrMurphy11. The title of this podcast episode is adapted from Dr Watkins' talk at the Royal Society of Medicine: "Cowboys and unicorns in #DigitalHealth — why validation is more important than valuation". You can find me on Twitter @MustafaSultan and subscribe to my newsletter on www.musty.io
17:02
May 23, 2020
#010: Collaborating with DeepMind/Google Health and How to Get into MedTech — Dr Pearse Keane Moorfields Eye Hospital
How do you get into MedTech and collaborate with DeepMind/Google Health to lead world-renowned Deep Learning research? All to help stop people from going blind?  This is 30 minutes of pure gold — Dr Pearse Keane's advice on how to get into exciting Deep Learning projects, approaches that worked for him and books he recommends. Dr Pearse Keane is a consultant ophthalmologist and NIHR Clinician Scientist at Moorfields Eye Hospital in London. Pearse was responsible for starting the collaboration between Moorfields and DeepMind. Some of his most famous research uses deep learning to identify retinal disease from OCT scans. Clinically applicable deep learning for diagnosis and referral in retinal disease: https://www.nature.com/articles/s41591-018-0107-6)
29:05
May 16, 2020
#009 The First Brit in Space and the Peculiar Doctor-Astronaut Relationship — Helen Sharman OBE
Ever wondered if astronauts are honest with their doctors? Or what it feels like to look out of the window at Earth? Helen Sharman was the first British astronaut. Project Juno, was a joint Soviet-British programme which took Helen to the Mir Space Station. Helen was working as a research technologist for Mars (the confectionery company) before hearing about the opportunity on the radio. We talked about the selection and training, what it’s like being in Space and the peculiar doctor-astronaut relationship.
27:01
May 9, 2020
#008 Machine Learning for Medics 101 🤖 — Dr Chris Lovejoy Doctor and Data Scientist
What’s AI? What’s machine learning? What’s deep learning? This week’s episode is a crash course on machine learning for medics. Dr Chris Lovejoy is a doctor, data scientist and content creator. He runs some exceptional ‘machine learning for medics’ day courses in London which is where I met him — and he also puts out loads of great content on his YouTube channel and newsletter. He also recently published a systematic review in the BMJ titled: AI Versus Clinicians: a Systematic Review. If you’re someone who has heard of concepts in AI and machine learning, but don’t necessarily understand them — Chris is the very best person I could think of to help explain them. I sat down with Chris to go from zero -> hero in machine learning as it relates to healthcare. Hopefully you'll get a better idea of what some of the buzzwords and key ideas are, how you can interpret a medical machine learning paper — and where you can go to keep your finger on the pulse and to learn more. Find Chris Website: https://chrislovejoy.me Newsletter: https://chrislovejoy.substack.com/p/artificial-intelligence-in-drug-discovery YouTube: https://www.youtube.com/channel/UCDoIFHMTKsgIweO-OZt1ecw Resources and Links Mentioned Luke Oakden-Rayner's post explaining metrics used to measure machine learning algorithm performance: https://lukeoakdenrayner.wordpress.com/2017/12/06/do-machines-actually-beat-doctors-roc-curves-and-performance-metrics/ Eric Topol: Twitter and book Chris's BMJ Paper: https://www.bmj.com/content/368/bmj.m689 Doctor Penguin Newsletter: http://doctorpenguin.com/about Andrew Ng's Machine Learning Course: https://www.coursera.org/learn/machine-learning AI for Medicine Coursera: https://www.coursera.org/specializations/ai-for-medicine Find Me www.bigpicturemedicine.co.uk Twitter @MustafaSultan
38:20
May 3, 2020
#007 The Logistics of Buying PPE from China — Dr Alisa Pearlstone NHS Hero Support
What are the realities of trying to procure PPE during a pandemic? As the government has given the NHS a 'blank cheque' to fight against COVID-19 — why can't we just throw money at the PPE shortage? To get answers, I spoke to Dr Alisa Pearlstone — the project director at NHS Hero Support — a pop up, emergency PPE delivery service. They’ve teamed up with the Doctors Association and Letsbeatcovid to help fight the PPE shortage. You can donate to NHS Hero Support at www.nhsherosupport.co.uk Links to socials and the podcast newsletter can be found at: www.bigpicturemedicine.co.uk
15:38
April 26, 2020
#006 Scuba Masks and PPE 🤿 — Mr Ryan Kerstein Oxford Inspired
What do you when hospitals are running out of Personal Protective Equipment (PPE) and your colleagues are at risk? Ryan and his team at Oxford Inspired have created a PPE mask out of scuba masks. They plan to deliver 3000 of these to the frontlines — but how do they work? And why are they having to step in? You can donate to the fundraiser at: www.oxford-inspired.com and you can find Ryan's innovation journal of the future at www.weshare.healthcare More about reverse innovation: https://www.bmj.com/content/367/bmj.l6205
19:34
April 18, 2020
#005 Prediction Models for Diagnosis and Prognosis of COVID-19 (BMJ Paper) — Professor Laure Wynants Maastricht University
"I'm going to go out on a limb and say that AI isn't going to get us out of the covid-19 crisis." Natasha Loder, Health Policy Editor at the Economist. Except, some researchers are trying just that. They're using deep learning to read CT scans and try to diagnose COVID-19, as well as building other types of models to predict the prognosis (mortality, length of hospital stay etc.) of the disease. A number of these models have been published as preprints or in academic journals — but Laure's team found that they were poorly reported, at a high risk of bias and and highly optimistic about their results. You can find Laure's systematic review here (available open access): https://www.bmj.com/content/369/bmj.m1328
15:25
April 10, 2020
#004 Predicting the Future of COVID-19 Using Epidemiological Models — Dr James Hay Computational Epidemiologist at Harvard School of Public Health
Curious about how the UK made the decision to the lock the country down? It was made using epidemiological models. One research team has been particularly influential in their response — the Imperial College team led by Professor Neil Ferguson. Their model predicted that an unchecked COVID-19 epidemic would overwhelm the NHS and result in 500,000 UK deaths. They suggested that we may need to have some form of social distancing for 12 out of the next 18 months. More recently, an Oxford University team led by Professor Sunetra Gupta published their own model. Any model on covid-19 has to make some assumptions — Imperial looked at the deaths we’ve had in the UK and assumed that COVID-19 hadn’t infected much of the UK, but had quite a high death rate. Oxford assumed the opposite — they constructed a model which assumed that COVID-19 had infected most of the population, but had a relatively low death rate. This was picked up in news outlets such as the Financial Times — “Coronavirus may have infected half of UK population“. To find out how these types of COVID-19 models work, what their limitations are and how we should interpret them — I called up Dr James Hay — who’s a computational epidemiologist at the Harvard’s School of Public Health. For the record, this conversation was recorded on the 31st March 2020. Imperial COVID-19 Model: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID- 19 mortality and healthcare demand. https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf Oxford COVID-19 Model: Fundamental principles of epidemic spread highlight the immediate need for large-scale serological surveys to assess the stage of the SARS-CoV-2 epidemic. https://www.medrxiv.org/content/10.1101/2020.03.24.20042291v1 Financial Times article mentioning Oxford model: https://www.ft.com/content/5ff6469a-6dd8-11ea-89df-41bea055720b
15:39
April 1, 2020
#003 AlzEye, Deep Fakes and the Eye as a Window Into the Soul — Dr Siegfried Wagner Clinical Research Fellow at Moorfields Eye Hospital
What can 2 million retinal images and a machine-learning algorithm achieve? Early-detection of Alzheimers—at least that's what Dr Siegfried Wagner along with a team led by Dr Pearse Keane at the Moorfields Eye Hospital are working towards.  We discuss the study at Moorfields, before going down a deep dive into how a relatively novel AI technique—Generative Adversarial Networks (GANs) can be used in Medicine. You may have seen a number of 'deep fakes' online, all made using GANs. But what legitimate uses do they have in Medicine and research?  Mentioned Links AlzEye Study: https://readingcentre.org/workstreams/artificial_intelligence_hub/alzeye/ Economist article on AlzEye: https://www.economist.com/science-and-technology/2019/12/18/a-system-based-on-ai-will-scan-the-retina-for-signs-of-alzheimers Rotterdam Study: https://jamanetwork.com/journals/jamaneurology/fullarticle/2685868 Biobank Study: https://jamanetwork.com/journals/jamaneurology/fullarticle/2685869 Predicting age and sex from retinal fundus images: https://www.nature.com/articles/s41551-018-0195-0
22:07
March 15, 2020
#002 AI in Paediatrics and Pathology — Professor Neil Sebire Chief Research Information Officer at GOSH
A professor of Pathology who has accepted his impending redundancy from AI image recognition—Professor Neil Sebire is also the Chief Research Information Officer at Great Ormond Street Hospital (GOSH); the country's leading children's research hospital. We talk about the future of pathology and paediatrics in the context of AI, how he partnered with Microsoft to create the GOSH in Minecraft and I finish off by asking him for his advice on academic success and getting published.
31:09
March 4, 2020
#001 Blockchain and What Doctors Should Know About It — Dr Abdullah Albeyatti CEO of MedicalChain
Blockchain (the technology behind Bitcoin) can be difficult to understand. It's been surrounded by cultish hype and it's not immediately obvious how it relates to healthcare. In this episode, Dr Abdullah Albeyatti gives an 'Explain-Like-I'm-Five-Years-Old' explanation of blockchain and covers how it can be used to manage patient records, in clinical trials and even on the organ donation registry.  He explains his journey from a doctor with an idea, to CEO and cofounder of MedicalChain; an electronic health record system which uses BlockChain technology to put the patient in control of their medical data. It's a fascinating story, especially since they've had tremendous success raising $24 million of funding and are now on the approved online framework for the NHS as a supplier.  There's also lots of life advice for doctors and medical students looking to work in MedTech.
49:32
February 24, 2020