Row 18343

Row ID: 18343 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 18343 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

For drug design and big pharma, it depends where in the pipeline. In biotechnology, bioinformatics and cheminformatics, there is a huge amount of research which has proven to find and filter drug candidates. Transformers are huge in large scale searches.

However big pharma, the big regulatory body, AI is very frown upon as “hype” and there isn’t much tech, it’s just clinical trials and testing, which needs lots of doctors with decades of experience to evaluate the symptoms and risks. AI doesn’t really have any place here.

But in biotech, yes there is a lot to do.

FieldValue
text For drug design and big pharma, it depends where in the pipeline. In biotechnology, bioinformatics and cheminformatics, there is a huge amount of research which has proven to find and filter drug candidates. Transformers are huge in large scale searches. However big pharma, the big regulatory body, AI is very frown upon as “hype” and there isn’t much tech, it’s just clinical trials and testing, which needs lots of doctors with decades of experience to evaluate the symptoms and risks. AI doesn’t…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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Raw Record

{
  "text": "For drug design and big pharma, it depends where in the pipeline. In biotechnology, bioinformatics and cheminformatics, there is a huge amount of research which has proven to find and filter drug candidates. Transformers are huge in large scale searches.\n\nHowever big pharma, the big regulatory body, AI is very frown upon as “hype” and there isn’t much tech, it’s just clinical trials and testing, which needs lots of doctors with decades of experience to evaluate the symptoms and risks. AI doesn’t really have any place here. \n\nBut in biotech, yes there is a lot to do.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5LakwtNGg5MEMwcExlY1JzQ01TQWRrRXRNdVBFRTBkZEhkbWxuV0Ric3hEQ2hadGQyYS1VNWlURDRwRHVEVUhGVGlRWEwzVFV6dW5zTGRMT1U5OTdqb08wS0E9PQ==",
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}
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