Mohammed Suhail CS | |
---|---|
![]() Suhail with Prime Minister Narendra Modi | |
Notable work | Early Diagnosis Of Malnutrition |
Awards | Pradhan Mantri Bal Puraskar 2019, Intel ISEF 2nd Grand Award. MIT Lincoln Laboratory Minor Planet Award - MOHAMMEDSUHAIL-34491 |
Website | https://chinyasuhail.com |
Mohammed Suhail Chinya Salimpasha (born Jan 20, 2001) is an Indian malnutrition researcher and inventor from Mangalore, Karnataka. He is known for his award-winning research on early diagnosis of protein–energy malnutrition. [1] [2] [3] [4]
Suhail developed a saliva-based colorimetric test for rapid quantification of nutrition status in children and establishing personalised nutrition plans. [1] [5] [6]
He also developed a non-invasive saliva-based colorimetric using inexpensive tools such as paper for early diagnosis of malnutrition. [1] [5] [7] [8]
Suhail is the son of Salim Pasha and Parveen. [9] [4] [10] He was homeschooled and for a brief time schooled at St. Aloysius Pre-University College. [11] [9] [8] [3]
Mohammed Suhail CS | |
---|---|
![]() Suhail with Prime Minister Narendra Modi | |
Notable work | Early Diagnosis Of Malnutrition |
Awards | Pradhan Mantri Bal Puraskar 2019, Intel ISEF 2nd Grand Award. MIT Lincoln Laboratory Minor Planet Award - MOHAMMEDSUHAIL-34491 |
Website | https://chinyasuhail.com |
Mohammed Suhail Chinya Salimpasha (born Jan 20, 2001) is an Indian malnutrition researcher and inventor from Mangalore, Karnataka. He is known for his award-winning research on early diagnosis of protein–energy malnutrition. [1] [2] [3] [4]
Suhail developed a saliva-based colorimetric test for rapid quantification of nutrition status in children and establishing personalised nutrition plans. [1] [5] [6]
He also developed a non-invasive saliva-based colorimetric using inexpensive tools such as paper for early diagnosis of malnutrition. [1] [5] [7] [8]
Suhail is the son of Salim Pasha and Parveen. [9] [4] [10] He was homeschooled and for a brief time schooled at St. Aloysius Pre-University College. [11] [9] [8] [3]