I wrote a book about knee osteoarthritis last year... I released one chapter per week on Substack...
I put together a post with each chapter explained... in case anyone is interested ;-)
30 years as an ortho should teach you a thing or two.
Link below...
#Cardiothoracic surgery residents, students, and attendings recently developed a structured, competency-based framework for early surgical trainees. Read the structured roadmap in #JTCVS Open: https://t.co/ipLUBuIii5
@AdhamAhmedMD @irbazhameed #HeartMonth
Rejected within 24 hours.
That’s how my academic journey really started.
My writing has never been the same since.
Here’s what I learned from 300+ submissions:
Too many papers get rejected instantly.
🐚TOP TEN PEARLS🐚Watch this technique video highlighting technical pearls from errors commonly encountered in ACLR BTB. https://t.co/9z10tjlQx9 #ACLR#BTB#technicalpearls
Years of work, endless nights up, the foundation of my PhD
No, the reality is we don't have reliable guidelines to rehab ACLR
And yes, we're coming with many other ACL-related publications
Cheers 🥂
https://t.co/2cdvYnQr6Q
@EamonnDelahunt@NicolvanDyk@chadcookpt
Linear Regression clearly Explained!
Linear Regression models relationship between a dependant variable (y) & two or more independent variables (x1, x2 ...)
❗️For the sake of simplicity we discuss linear regression with a single independent variable.
Mathematical Representation:
y=mx+c
where:
- y is the dependent variable
- x is the independent variable
- m is the slope of the line
- c is the y intercept
Cost Function:
❗️The goal is to find the best values for m and c that minimize the error between the predicted values & the actual values for all data points.
This is how the cost function looks, a mean squared error:
MSE= 1/N∑(yi−(m*xi+c))**2
Where:
- N is the number of data points.
- yi is the actual value for the ith data point.
- mxi+c is the predicted value for the ith data point.
How it works (Optimisation)❓
To minimize the MSE, we can use gradient descent.
The basic idea is to:
- Start with some initial value of m & c
- Compute the gradient of the MSE w.r.t. both m & c.
- Update m & c in the direction of the negative gradient.
Implementation from Scratch:
Now that we understand how things work it's fairly simple to implement linear regression in Python!
Check this out 👇
That's a wrap!
Share this with your network if you found this insightful !
Find me → @akshay_pachaar ✔️
For more insights and tutorials on AI and Machine Learning!
Cheers!! 🙂
VO2Max - How Walking Can Create an Elite VO2Max
Many people think that the only way to raise VO2Max is by doing HIIT.
But you can achieve a high VO2Max just with walking.
Walking is arguably the superior way to build it 🧵
New expert video by Brian Busconi, MD of @umassmemorial at the 2023 @shoulder360 The Comprehensive Shoulder Course.
Partial Repair - Show me Anything Better
Click here to watch this and related videos on Orthobullets: https://t.co/wFW65trXiD
#orthotwitter#partialrepair
Cementless stems have a high PFF rate, regardless of the stem type or presence of collar. Taper-slip stems are responsible for late fractures, raising concerns about their performance in the long term.
https://t.co/7xJGCr72tH
INFOGRAPHIC: Muscle activity during running 🏃♀️
Peak loads on the calf, hamstrings and hip flexors will increase significantly with faster running and sprinting.
Have we been lied to? This study would suggest it.
Until there is stronger evidence to establish a causal link between cement use and BCIS, avoidance of BCIS does not appear to be a strong argument against cementation.
https://t.co/sMJEaY2m0o
We demonstrated the evidence in which cartilage loss on radiography was not a risk factor for total hip replacement (THR). Orthopedic surgeons should pay more attention to symptom intensity, and not only take surgery decision based on radiographic OA severity.
https://t.co/eKYbXWLEA7
https://t.co/bK1SfKy09s
If the patient has a complete loss of cartilage on radiography but no buttock pain,
Pericapsular Soft Tissue and Pelvic Realignment(PSTP-R)therapy might improve their pain and avoid THR.
This is one of my favorite speeches of all time…
It always hits me hard:
“You get up every day—you’re entitled to nothing. Nobody owes you nothing. You could have talent, but if you don’t have discipline, and you don’t execute, you don’t focus… What do you get? Nothing. If you’re complacent and not paying attention to detail… What does that get you? Nothing. So nothing is acceptable but your best.”
This is a harsh reality of life:
Talent is meaningless without discipline.
Ambition is worthless without execution.
Focus is the difference between potential and reality.
You’re not entitled to success—it’s earned in the quiet, thankless moments when no one is watching.
The antidote to entitlement is relentless ownership.
Show up fully. Pay attention to the details. Do your best—every single day.
Because in a world where everyone wants the reward, it’s those who refuse to accept anything less than their best who build something worth being proud of.