The hottest Healthcare Substack posts right now

And their main takeaways
Category
Top Health Politics Topics

Medical Artificial Intelligence in Japan

Bee Curious's Newsletter • 0 implied HN points • 21 Oct 24
🕹 Technology Healthcare
  1. Japan has been integrating AI into healthcare since about 15 years ago. This started as a move to tackle issues related to an aging population.
  2. The government is now focused on using AI to create 'AI hospitals' and improve patient care. This includes tools for diagnostics and automating tasks to help healthcare workers.
  3. A big breakthrough is using AI to detect pancreatic cancer early. Early detection is crucial since this type of cancer is usually diagnosed too late when it's harder to treat.

The "Why Now" for Healthcare

Digital Native • 0 implied HN points • 30 Oct 24
🏥 Health Politics Healthcare
  1. Regulatory capture is when special interests take priority over public needs, often leading to higher prices and limited competition, like the expensive COVID tests in the USA compared to other countries.
  2. Healthcare is at a turning point due to several shifts, including aging populations, advances in technology like telehealth and AI, and increased focus on wellness. These changes are driving demand for innovative healthcare solutions.
  3. Despite challenges, there are growing opportunities for startups in healthcare, especially in areas like Medicaid and telehealth, as more people seek affordable and effective services.

To Go Broad, Go Deep

Digital Native • 0 implied HN points • 23 Oct 24
💼 Business Healthcare
  1. To truly make a wide impact, you first need to understand your area deeply. This is about getting to the roots of a problem before trying to solve it on a larger scale.
  2. Founders should keep engaging with their customers as they grow. Staying connected with the people they serve helps them keep important insights and improve their offerings.
  3. Personal experiences can lead to great business ideas. If founders draw from their own knowledge and insights, they often find unique solutions that resonate with others.

Wax On, Data On: Why Systems Biology Needs Its Mr. Miyagi Moment

Nano Thoughts • 0 implied HN points • 11 Dec 24
🔬 Science Healthcare
  1. Building a strong foundation before specialized learning is important. Just like in karate, having basic skills helps in mastering advanced techniques later.
  2. Large datasets without labels are crucial for training AI in systems biology. These datasets can help uncover hidden patterns in biology, similar to how language models learn from vast amounts of text.
  3. Advanced AI can make healthcare more personalized and efficient. With better AI models, diagnoses may be quicker, and treatments could be more suited to each person's needs.
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start from zero

Poems, Short stories and other things.. • 0 implied HN points • 21 Dec 24
🕹 Technology Healthcare
  1. AI tools in software development can speed up work significantly, making tasks that used to take months done in just a few hours. This trend could happen in many fields, leading to a more efficient workforce.
  2. Jobs that involve repetitive or analytical tasks might see big changes due to AI. While some jobs won't disappear, they will likely require fewer people to accomplish the same goals, leading to faster results.
  3. Education will need to adapt quickly to teach skills relevant to the new AI tools. Traditional programming teaching might change as more people use AI to code without needing to know specific languages.

25 Predictions for 2025 (Part II)

Digital Native • 0 implied HN points • 15 Jan 25
🕹 Technology Healthcare
  1. In 2025, we might see the rise of a new type of video game that keeps changing forever based on how players play. This could mean that instead of finishing a game, players could enjoy an endless adventure that adapts to their choices.
  2. Expect to see Pixar create a short film using AI technology. This will allow them to produce content faster and cheaper, leading the way for more AI involvement in film and animation.
  3. Google is likely to launch an AI tool that helps students learn better in schools. This could personalize education in a way that's never been done before, making learning more accessible to everyone.

JPM In Review

ASeq Newsletter • 0 implied HN points • 21 Jan 25
💼 Business Healthcare
  1. Oxford Nanopore's revenue is growing, but it's unclear if they'll be profitable by 2027. Their growth is mostly due to a product called Plasmidsaurus, but future short-term growth is uncertain.
  2. Pacific Biosciences is struggling with revenue and sticking to their short reads strategy, which isn't performing well. However, their technical advancements and research look promising.
  3. Illumina's revenue is stable, which is good given current market challenges. They are focusing more on clinical applications, aiming to provide high-quality insights at lower costs.

Techno-Optimism and Horizon Expansion

Digital Native • 0 implied HN points • 12 Feb 25
🕹 Technology Healthcare
  1. People are growing more skeptical of AI, especially in creative fields like film. This backlash shows a general distrust in new technology is becoming more common.
  2. Despite concerns, technology can improve access and affordability in areas like education, healthcare, and finance. AI is expected to help make expensive services more available to everyone.
  3. History shows that new technology often causes fears and backlash, but it usually leads to positive changes. It's important to focus on shaping and regulating these advances for better outcomes.

The Kennedy Conundrum

The Oasis • 0 implied HN points • 24 Feb 25
🇺🇸 U.S. Politics Healthcare
  1. Robert F. Kennedy Jr. has promised to release hidden data from health agencies about drug safety and vaccine effects. He believes the public deserves to know the real dangers of these products.
  2. He plans to investigate medical journals for possible corruption in research publishing. This includes looking into how studies are selected and how they promote drug companies' interests.
  3. Kennedy wants to stop prescription drug advertising on TV, something that's only allowed in the U.S. and New Zealand. This could shake up the media landscape, as many news outlets rely heavily on this advertising revenue.

If no one builds it, you're never born.

Artificial General Ideas • 0 implied HN points • 08 Dec 25
🕹 Technology Healthcare
  1. Not building AGI could leave humanity unprepared for future challenges, just like past advancements have helped us overcome difficulties. We need innovation to face problems that might threaten our existence.
  2. Scaling current AI methods won’t create AGI but will lead to powerful AI systems. Making AI safe is just as crucial as making it useful, and we should focus on both.
  3. AGI has the potential to improve our ability to respond to disasters, enhance health care, and promote sustainable agriculture, helping humanity survive and thrive in various areas.

New York Is An Industry Town

Digital Native • 0 implied HN points • 19 Nov 25
💼 Business Healthcare
  1. New York is an industry town with deep hubs for finance, healthcare, media, advertising, law, restaurants, fashion, real estate, and more.
  2. Many of those industries run on manual, fragmented workflows and large markets, so applied AI can quickly improve efficiency and create new business models.
  3. While San Francisco leads on foundation models and infrastructure, New York’s proximity to domain experts, customers, and operators gives it an edge in building and scaling industry-specific AI companies.

Silicon Valley's 99% Blindspot

Digital Native • 0 implied HN points • 28 Jan 26
🕹 Technology Healthcare
  1. Tech companies often build products for themselves and the wealthy, missing the needs of everyday people and large underserved markets.
  2. Big opportunities exist in building practical, vertical tech for non-technical users—like automating hospital discharges or early disease detection for farmers—which can be both impactful and profitable.
  3. Founders and early adopters should spend time with users outside the Valley and act as translators, turning powerful but complex technology into simple, trustworthy products people will actually use.