Unraveling Down Syndrome: From Genetic Anomaly to Artificial Intelligence-Enhanced Diagnosis
Aabid Mustafa Koul, Faisel Ahmad, Abida Bhat, Qurat-ul Aein, Ajaz Ahmad, Aijaz Ahmad Reshi, Rauf-ur-Rashid Kaul · 2023
Read Unraveling Down Syndrome: From Genetic Anomaly to Artificial Intelligence-Enhanced Diagnosis by Aabid Mustafa Koul, Faisel Ahmad, Abida Bhat, Qurat-ul Aein, Ajaz Ahmad, Aijaz Ahmad Reshi, Rauf-ur-Rashid Kaul (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10741860.txt.
Description
Down syndrome, caused by an extra chromosome, shapes learning, growth, and health across a whole life. Aabid Mustafa Koul and co-authors review the condition from its genetics to a new wave of AI-assisted diagnosis. Screening in pregnancy has already improved early detection. The review covers thinking profiles, related health problems, and daily care.
The newest tools train models on faces, markers in the body, and medical images. They aim to catch subtle signs that humans miss, where thinking problems make checks harder. The authors see real promise in earlier care fitted to each person. They also stress that genes and environment intertwine in ways still not fully known. The review appeared in 2023.
Catalog record
| CREATOR | Aabid Mustafa Koul, Faisel Ahmad, Abida Bhat, Qurat-ul Aein, Ajaz Ahmad, Aijaz Ahmad Reshi, Rauf-ur-Rashid Kaul |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |