Maswali ya Biolojia ya Kujifunza kwa Mashine ya Insitro

Majibu na maelezo huonekana unapojibu maswali.

1. Je, jina 'Insitro' linachanganya nini?
   • 'In silico' (kokotoo) na 'in vitro' (baiolojia ya maabara)
   • Insulini na nitro
   • Ndani na nje
   • Ufahamu na retro
2. Nani alianzisha Insitro?
   • Demis Hassabis
   • Daphne Koller
   • Andrew Ng
   • Jensen Huang
3. Kwa nini Insitro inasisitiza jeni za binadamu katika uteuzi lengwa?
   • Ni nafuu zaidi kuliko kupiga picha
   • Jenetiki haihitaji data
   • Jenetiki ya mwanadamu ni kati ya uthibitisho wenye nguvu kwamba mtu anayelengwa husababisha magonjwa
   • Inaepuka kutumia kompyuta
4. 'Fenotype ya kujifunza mashine' ni nini kama Insitro inavyoitumia?
   • Tabia ya roboti
   • Aina ya hitilafu ya programu
   • Lebo ya uuzaji
   • Sifa ya kiasi inayotokana na AI kutoka kwa data kama vile picha za matibabu
5. Ni kundi gani kubwa la binadamu ambalo hutumika sana kwa masomo ya kijeni ya kiwango cha benki ya kibayolojia kama ya Insitro?
   • Uingereza Biobank
   • Seti ya data ya Netflix
   • Picha ya Picha
   • Wikipedia
6. Je, ni eneo gani la ugonjwa ambalo linazingatia sana ushirikiano wa Insitro na Gileadi?
   • Baridi ya kawaida
   • Magonjwa ya ini kama vile NASH na fibrosis
   • Mifupa iliyovunjika
   • Kuoza kwa meno
7. What does an in-vitro disease model refer to in Insitro's approach?
   • A computer simulation with no biological measurements
   • A population study that uses only insurance claims
   • A lab-grown cellular model, such as stem-cell-derived cells, used to study disease biology
   • An animal trial that replaces all cell experiments
8. How can Insitro combine an image-derived phenotype with human genetics?
   • Treat every associated locus as proof of a causal drug target
   • Replace genetic data with a microscope image of the whole population
   • Use a phenotype score as a clinical diagnosis without validation
   • Run genome-wide association analyses to identify loci associated with the measured phenotype