The hottest Healthcare Substack posts right now

And their main takeaways
Category
Top Health Politics Topics
Bee Curious's Newsletter β€’ 0 implied HN points β€’ 21 Oct 24
  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.
Digital Native β€’ 0 implied HN points β€’ 30 Oct 24
  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.
Digital Native β€’ 0 implied HN points β€’ 23 Oct 24
  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.
Nano Thoughts β€’ 0 implied HN points β€’ 11 Dec 24
  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.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Poems, Short stories and other things.. β€’ 0 implied HN points β€’ 21 Dec 24
  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.
Digital Native β€’ 0 implied HN points β€’ 15 Jan 25
  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.
ASeq Newsletter β€’ 0 implied HN points β€’ 21 Jan 25
  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.
Digital Native β€’ 0 implied HN points β€’ 12 Feb 25
  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 Oasis β€’ 0 implied HN points β€’ 24 Feb 25
  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.