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Trusted Specialists Near Mumbai for Metabolic Syndrome
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Appointments Quickly with Verified Doctors
TT$ 450.00
Dr Kurt Furlonge
- Cardiology
- MBBS, MRCP(UK), MSc.Cardiology (UK), Interventional Cardiology (Beijing)
- 13yr experience
-
San Fernando -
English
TT$ 758.98
Dr Karen Phillips
- Endocrinology
- MSc- Diabetes and Endocrinology, DM- Internal Medicine, Certification in Stroke Rehabilitation
- 20yr experience
-
Kingston
-
English
Lauren Brooks
TT$ 350.00
Dr Rishi Ramtahal
- Endocrinology
- MBBS, MRCP (UK)
- 15yr experience
-
Cunupia
-
English
TT$ 400.00
Dr Melinda Nancoo
- Endocrinology
- MBBS, MRCP
- 11yr experience
-
Sangre Grande
-
English
4 Likes
TT$ 500.00
Dr Undurti Narasimha Das
- Endocrinology
- MBBS, MD, FAMS, FICP
- 30yr experience
-
Battle Ground
-
English, Hindi, Telugu
Book Online Appointments with Metabolic Syndrome Experts in Mumbai
Get connected with certified Metabolic Syndrome doctors in Mumbai via online consultation. Discuss your symptoms, share reports, and receive expert medical care digitally.
| Name | Speciality | Exp | Fee |
|---|---|---|---|
| Dr Raj Kapoor (MBBS, MD, ECFMG, ABSM, FCCP,) | Pulmonology | 50 Y | TT$ 643.51 |
| Dr David Toby (MBBS,FRCS) | Orthopedics | 45 Y | TT$ 500.00 |
| Dr E Monica Davis (MBBS,MPhil) | Physiology | 42 Y | TT$ 300.00 |
| Dr Rodney Benjamin (MBBS) | Anesthesiology | 41 Y | TT$ 250.00 |
| Dr Manohar Ahuja (M.D., M.B.B.S., M.R.C.P.(UK), Nephrology & Internal Medicine) | Nephrology | 40 Y | TT$ 541.90 |
| Dr Prakashbhan Persad (MBBS, DGO, FRCOG, MRCPI, MFFP, MSc (Fetal Medicine)) | Obstetrics gynecology | 37 Y | TT$ 550.00 |
| Dr Prakashbhan Persad (MBBS, DGO, FRCOG, MRCPI, MFFP, MSc (Fetal Medicine)) | Women health | 37 Y | TT$ 550.00 |
| Dr Stephen Ramroop (M.B.B.S, F.R.C.S, MBA) | Orthopedics | 35 Y | TT$ 400.00 |
| Dr Vernon DaCosta (MD, OBGYN) | Obstetrics gynecology | 32 Y | TT$ 569.24 |
| Dr Sergiy Adonin (MD (Master of Surgery), MBBS) | Orthopedics | 30 Y | TT$ 550.00 |
openmumbaimetabolic syndrome
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SELECT multi_symptoms, url_text, url, header
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WHERE FIND_IN_SET(
LOWER('metabolic syndrome'),
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)
AND LOWER(city) = LOWER('mumbai')
AND country = 'Trinidad/Tobago'
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