gunnawunna
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- Jun 3, 2024
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I just got my MCAT score back and i'm in shambles.
WAMC for Texas MD schools as ORM - Asian (resident). I really would not prefer DO. No gap years.
3.92 CGPA
508 МСАТ
Clinical
500+ Hours Hospital Volunteer (Direct PT Care, 250 in ER (MME) and 250 in pediatrics)
144 Hours Ambulance Cadet volunteering with EMTs on ambulance, BP, vitals, etc. (basically uncertified EMT volunteer)
• EMT Course Completed (planing on taking NREMT this summer and finding work)
96 Hours Clinic Internship in India while visiting family
80 Hours Shadowing: (50 Neonatologist, 30 Virtual Family Med)
Non-Clinical
462 Hours Non Clinical hours at Children's Special Needs Camp over all summers (MME)
80 Hours serving free food at temple (long term)
24 Hours volunteering with campus org that builds crates with medical supplies to ship to countries in need (long-term)
Research
1400 Research Hours:
1 Publication (2nd author) about a machine learning model I helped to code which is used to evaluate pediatric mortality risk, model uses information obtained at scene (GCS, BP, location of injury, etc.) to predict mortality risk on a scale of 0-1 to assist with triage (validated at 97%+ accuracy), I helped with study design, coding, manuscript writing, etc. In the optional essay, I wrote about how seeing a kid pass away after being mis-triaged at the ER I was volunteering at drove me to help with the triage process using modern technological methods (machine learning).
1 Publication (3rd author) about the differences in mortality rates for pediatric patients transported via ambulance vs via helicopter using data from over 750K patients (fun fact: there is no significant difference).
1 First Author Publication in progress (submitted), this is relating to the same model discussed above with more improvements in discriminatory ability with increased accuracy and sensitivity/specificity, making it the most accurate model to date (this research is something that greatly interests me and I can talk forever about). (MME)
1 Poster on HIV Malignancies and implications in children (won Magna Cum Laude at RNSA which was awarded to 20/1450+ presentations, under 2%).
Extras:
Good LORS (4 total: 2 from science professors, 1 from machine learning Pl, 1 from RNSA PI)
Good Essays (IMO) highlighting how much application is focused around a pediatric theme
WAMC for Texas MD schools as ORM - Asian (resident). I really would not prefer DO. No gap years.
3.92 CGPA
508 МСАТ
Clinical
500+ Hours Hospital Volunteer (Direct PT Care, 250 in ER (MME) and 250 in pediatrics)
144 Hours Ambulance Cadet volunteering with EMTs on ambulance, BP, vitals, etc. (basically uncertified EMT volunteer)
• EMT Course Completed (planing on taking NREMT this summer and finding work)
96 Hours Clinic Internship in India while visiting family
80 Hours Shadowing: (50 Neonatologist, 30 Virtual Family Med)
Non-Clinical
462 Hours Non Clinical hours at Children's Special Needs Camp over all summers (MME)
80 Hours serving free food at temple (long term)
24 Hours volunteering with campus org that builds crates with medical supplies to ship to countries in need (long-term)
Research
1400 Research Hours:
1 Publication (2nd author) about a machine learning model I helped to code which is used to evaluate pediatric mortality risk, model uses information obtained at scene (GCS, BP, location of injury, etc.) to predict mortality risk on a scale of 0-1 to assist with triage (validated at 97%+ accuracy), I helped with study design, coding, manuscript writing, etc. In the optional essay, I wrote about how seeing a kid pass away after being mis-triaged at the ER I was volunteering at drove me to help with the triage process using modern technological methods (machine learning).
1 Publication (3rd author) about the differences in mortality rates for pediatric patients transported via ambulance vs via helicopter using data from over 750K patients (fun fact: there is no significant difference).
1 First Author Publication in progress (submitted), this is relating to the same model discussed above with more improvements in discriminatory ability with increased accuracy and sensitivity/specificity, making it the most accurate model to date (this research is something that greatly interests me and I can talk forever about). (MME)
1 Poster on HIV Malignancies and implications in children (won Magna Cum Laude at RNSA which was awarded to 20/1450+ presentations, under 2%).
Extras:
Good LORS (4 total: 2 from science professors, 1 from machine learning Pl, 1 from RNSA PI)
Good Essays (IMO) highlighting how much application is focused around a pediatric theme
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