Row 28399

Row ID: 28399 | Dataset Entry | Axioma AXP Content Repository

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I think the immediate answer is NO! AI or ML based pipelines have largely helped automating repetitive stuff, like counting cells on slides from biopsy, or recommending the correct treatment. The major things are probably the Davinci operating system, and AlphaFold3. But there is no grand advancements derived from AI that can produce better drugs or diagnose hard cases. The reason for that being is partly the gap between AI experts and the medicine industry, and partly the lack of data and quality data at that. I think also a huge part for the absence of major advancement can be attributed to the lack of commercial upside in system biology and quantitative biology research. Even if you discover something significant, it will takes many years until you see any return, and therefore it is less inviting than other AI ventures that are more profitable by many miles.

FieldValue
text I think the immediate answer is NO! AI or ML based pipelines have largely helped automating repetitive stuff, like counting cells on slides from biopsy, or recommending the correct treatment. The major things are probably the Davinci operating system, and AlphaFold3. But there is no grand advancements derived from AI that can produce better drugs or diagnose hard cases. The reason for that being is partly the gap between AI experts and the medicine industry, and partly the lack of data and quali…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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{
  "text": "I think the immediate answer is NO! AI or ML based pipelines have largely helped automating repetitive stuff, like counting cells on slides from biopsy, or recommending the correct treatment. The major things are probably the Davinci operating system, and AlphaFold3. But there is no grand advancements derived from AI that can produce better drugs or diagnose hard cases. The reason for that being is partly the gap between AI experts and the medicine industry, and partly the lack of data and quality data at that. I think also a huge part for the absence of major advancement can be attributed to the lack of commercial upside in system biology and quantitative biology research. Even if you discover something significant, it will takes many years until you see any return, and therefore it is less inviting than other AI ventures that are more profitable by many miles.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lak1FQVJXN0xPTi1TUXdyVXQwcU10Nl9qZVVMaVBCS1F1eHBPOFkxWGlORmtUdEQxVm51aklIOERBT0xfdEJFaC14eUhjcWR6ejUzeWd2Q2JBRVFEd0VXOWE5bmZTMHBzTTZtOTF4eXEyQ0oxM2c9",
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}
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