Psychology class: Scientists use brain-like tissue in advance for ‘biocomputing’ research
==========
Scientists at Johns Hopkins University have grown a 'brain organoid' from stem cells, which could be used for 'biocomputing' research. Stem cells are a possible way to help the brain recover from trauma. The researchers' technology could identify Japanese vowel sounds and may simulate the auditory cortex of the brain. The possible applications, benefits, and risks of this research include understanding brain function, developing new therapies for brain disorders, and potential ethical concerns. The article is part of the Financial Times free schools access programme.
#Biocomputing #BrainlikeTissue #StemCells #BrainOrganoid #Research #JohnsHopkinsUniversity
https://www.ft.com/content/9cb6ff8c-2e40-40d1-a2b1-c7e4c2b86366
Financial Times /
npub1ey5…tq7p
2024-04-14 01:33:22
Author Public Key
npub1ey55s7y4px7nuw9qq987mhc2lm8qp30xvyrkgqk9p626n78zfcxqw0tq7pPublished at
2024-04-14 01:33:22Event JSON
{
"id": "2f1ff1fcf7c4c5b9be46b39f55c7c02e12f73e8f913ae1f3f8c7d2242ce91e31",
"pubkey": "c92948789509bd3e38a0014feddf0afece00c5e661076402c50e95a9f8e24e0c",
"created_at": 1713051202,
"kind": 1,
"tags": [],
"content": "Psychology class: Scientists use brain-like tissue in advance for ‘biocomputing’ research\n==========\n\nScientists at Johns Hopkins University have grown a 'brain organoid' from stem cells, which could be used for 'biocomputing' research. Stem cells are a possible way to help the brain recover from trauma. The researchers' technology could identify Japanese vowel sounds and may simulate the auditory cortex of the brain. The possible applications, benefits, and risks of this research include understanding brain function, developing new therapies for brain disorders, and potential ethical concerns. The article is part of the Financial Times free schools access programme.\n\n#Biocomputing #BrainlikeTissue #StemCells #BrainOrganoid #Research #JohnsHopkinsUniversity\n\nhttps://www.ft.com/content/9cb6ff8c-2e40-40d1-a2b1-c7e4c2b86366",
"sig": "91480eb386ed589cc4976202caa7acee2db4e3e759b3e50a5fd9ccb2578298bcf2629368c537fdefe0402a5b243da422a5b1f5c7753969ad056c178c4f10f3f3"
}