Take the pledge to vote

For a better tommorow#AajSawaroApnaKal
  • I agree to receive emails from News18

  • I promise to vote in this year's elections no matter what the odds are.
  • Please check above checkbox.

    SUBMIT

Thank you for
taking the pledge

Vote responsibly as each vote counts
and makes a diffrence

Disclaimer:

Issued in public interest by HDFC Life. HDFC Life Insurance Company Limited (Formerly HDFC Standard Life Insurance Company Limited) (“HDFC Life”). CIN: L65110MH2000PLC128245, IRDAI Reg. No. 101 . The name/letters "HDFC" in the name/logo of the company belongs to Housing Development Finance Corporation Limited ("HDFC Limited") and is used by HDFC Life under an agreement entered into with HDFC Limited. ARN EU/04/19/13618
Tech
News18 » Tech
1-min read

AI Enters The Fight Against Zika; Diagnoses Virus With up to 95% Accuracy

The platform has the capacity to identify positive cases of Zika even in blood serum analysed 30 days after the start of infection, when the acute phase of the disease is over.

IANS

Updated:June 13, 2018, 6:49 PM IST
facebookTwitterskypewhatsapp
AI Enters The Fight Against Zika; Diagnoses Virus With up to 95% Accuracy
Courtesy: AP photo
Loading...

Brazilian scientists have developed an artificial intelligence (AI) platform that can diagnose Zika and other pathogens from patients' blood with over 95 per cent accuracy. The method combines mass spectrometry, which can identify tens of thousands of molecules present in blood serum, including lipids, peptides, and fragments of DNA and RNA, with an AI algorithm capable of finding patterns associated with diseases of viral, bacterial, fungal and even genetic origin.

A mass spectrometer is a device which acts as a kind of molecular weighing scale, sorting molecules according to their mass.

"We used infection by Zika virus as a model to develop the platform and showed that in this case, diagnostic accuracy exceeded 95 per cent. One of the main advantages is that the method doesn't lose sensitivity even if the virus mutates," said lead author Rodrigo Ramos Catharino, Professor at the University of Campinas (UNICAMP) in Brazil.

Further, the platform, according to the study published in Frontiers in Bioengineering and Biotechnology, has the capacity to identify positive cases of Zika even in blood serum analysed 30 days after the start of infection, when the acute phase of the disease is over.

Also read: E3 2018: Five Biggest Xbox Exclusives

"None of the currently available diagnostic kits has the sensitivity to detect infection by Zika after the end of the acute phase. The method we developed could be useful to analyze transfusion blood bags, for example," Catharino said.

For the study, 82 patients were diagnosed with Zika by the currently used method --real-time polymerase chain reaction (RT-PCR) -- which detects viral RNA in body fluids during the acute phase of the infection. Out of the 121 patients in the control group, approximately half had the same Zika symptoms such as fever, joint pain, conjunctivitis and rash, but showed negative on RT-PCR results.

The results established a panel of 42 biomarkers as a specific key to identifying the Zika virus. Twelve of these were found to be highly prevalent in the blood of patients who tested positive for the disease, the researchers said.

Watch: Top 5 iOS 12 Features Announced at Apple WWDC 2018

 

Get the best of News18 delivered to your inbox - subscribe to News18 Daybreak. Follow News18.com on Twitter, Instagram, Facebook, TikTok and on YouTube, and stay in the know with what's happening in the world around you – in real time.

Subscribe to Moneycontrol Pro and gain access to curated markets data, trading recommendations, equity analysis, investment ideas, insights from market gurus and much more. Get Moneycontrol PRO for 1 year at price of 3 months. Use code FREEDOM.

| Edited by: Sarthak Dogra
Read full article
Loading...
Next Story
Next Story

Also Watch

facebookTwitterskypewhatsapp

Live TV

Loading...
Countdown To Elections Results
To Assembly Elections 2018 Results