Natarajan Ramalingam

Associate Professor in Head and Neck Surgical Oncology @ Christian Medical College, Vellore.
Trained at TMH Mumbai and JIPMER Puducherry.

[Daily Life Hacks @ThePinchh]

Sin & Cosin

[Natarajan Ramalingam @NatRam89]

@MathGuyTFL 2

[Natarajan Ramalingam @NatRam89]

@Simi_2210_ 21

[Natarajan Ramalingam @NatRam89]

@Friyaneb 14

[Natarajan Ramalingam @NatRam89]

@codek_tv 0.5

[Natarajan Ramalingam @NatRam89]

@MathGuyTFL 0

[MV Chandrakanth @ChandrakanthMv]

• Platinum chemotherapy shortage in India is becoming a major oncology challenge

• Cisplatin & carboplatin are backbone drugs across many cancers

• The issue is not just “drug availability” → raw material crisis → pricing pressure → manufacturing economics → supply-chain disruption

• Real-world impact: → treatment delays → dose modifications → regimen changes → inventory pressure

• Quick visual summary of: ✓ What is happening
✓ Why it is happening
✓ Clinical implications
✓ Possible solutions

Would like to hear how different centres are managing this situation.

#Oncology #CancerCare #DrugShortage #Cisplatin #Carboplatin #Chemotherapy #OncTwitter #MedTwitter #MVOnco

[JAMA Otolaryngology – Head & Neck Surgery @JAMAOto]

Completion #TORS after diagnostic tonsillectomy for HPV-associated tonsil #SCC did not increase positive margins or worsen survival, supporting routine tonsillectomy as oncologically safe. https://t.co/pIXfKWaTyd

[Natarajan Ramalingam @NatRam89]

@anujg -4126

[Krishnakumar Thankappan @drkrishnakumart]

https://t.co/0WyuyDvKKn #headandneck #thyroid #headneckcancer #thyroidectomy @drprathameshpai @FHNO_India @dnair78 @AmritaHospitals

[Natarajan Ramalingam @NatRam89]

@ttd_updates Didn't get. Can u elaborate on SRIVANI trust donation based Beginning Break Darshan. Do we have to pay for kids too? Any age cut off?

[CMC Vellore @OffCMCVellore]

World's 1st Paediatric Robotic Slide Tracheoplasty under ECMO (Extracorporeal Membrane Oxygenation) support performed by CMC Vellore's Dept of Paediatric Surgery recently.
The surgery, performed on the 8-yr-old patient, was to correct congenital tracheal stenosis, a rare condition (1 in 64,500) at birth, severely affecting a child's breathing due to narrowing of the windpipe. Traditionally, this involves a highly invasive surgical procedure (neck incision or sternotomy). With robotics, recovery did not take as long and the patient could be discharged within a week.
The complex procedure - a collaborative effort by a multidisciplinary team including paediatric & cardiac anaesthetists, PICU specialists and paediatric cardiothoracic surgeons - also benefitted from live telementoring by Dr Robert Cerfolio @Cerf_MD, world-renowned robotic thoracic surgeon based in New York. Other partners who were involved were Dr Susheel Kumar, ECMO specialist also based in NY, whose expertise ensured a safe surgical field preventing blood clots & Dr S Solaman Bobby from Alliance University, Bangalore, for the provision of patient-specific 3D-print anatomical models for the practice sessions.
Read more: https://t.co/YIeKS670cD

#surgery #RoboticSurgery #PaediatricSurgery #SlideTracheoplasty #TrachealStenosis #ECMO

[Praveen Kumar Marimuthu @drmpk91]

Excited to share that our phase 2 trial #NeoLOCUS is now out in @LancetRH_SEAsia! A collective effort from the Head & Neck team @OffCMCVellore led by @todrashish
We report R0 rates, ORR, safety, survival outcomes, tumor immune microenvironment change🧵👇
https://t.co/vjAbbvhZI7

[Manju Sengar @ManjuSengar7]

So happy to note that India is launching a HPV vaccination program for our 14-year old girls. Truly a historic step to eliminate cervical cancer.
Do get your daughters vaccinated. It is safe and effective. Watch it - the colours would change in this map!
#HPVvaccine

[Tata Memorial Centre @TataMemorialCtr]

85 years of care, compassion, and commitment.

Since 1941, @TataMemorial has remained dedicated to accessible cancer care, advancing research, and training the next generation of oncology professionals.

Honouring the legacy. Renewing the commitment.
#85YearsOfCare #FoundationDay

[Natarajan Ramalingam @NatRam89]

@CricketopiaCom He himself got so many undeserving LBWs his way though. The game balances everyone!

[ℏεsam @Hesamation]

this professor explains Game Theory so well it makes you want to learn it now.

[Joachim Schork @JoachimSchork]

Did you know that random forests are useful not only for prediction and classification, but also for imputing missing data?

They can model complex, nonlinear relationships that many traditional methods fail to capture. The plot below shows how well random forest imputation preserves the structure of the observed values.

Instead of relying on a single regression line, the model combines information from many decision trees. This allows it to capture interactions and patterns that simpler approaches often miss. As a result, the imputed values stay close to the real distribution and reflect the underlying data more accurately.

If you want to learn how to apply random forest imputation and other missing data techniques in practice, my online course on Missing Data Imputation in R starts on December 1, 2025. Check out this link for more details: https://t.co/i99PuXw3TZ

#DataScientist #RStudio #VisualAnalytics #RStats

[Joachim Schork @JoachimSchork]

When predictor variables are too closely related, your regression model struggles to determine which one truly matters. This issue, known as multicollinearity, inflates standard errors, distorts coefficient estimates, and weakens model reliability. Variance Inflation Factor (VIF) helps detect and quantify this problem, ensuring more stable and interpretable results.

✔️ A VIF below 5 suggests low multicollinearity, while values between 5 and 10 indicate moderate correlation that may require attention. A VIF above 10 is considered problematic, as it can significantly distort regression estimates.
✔️ Addressing high VIF values improves model stability. Strategies include removing redundant variables, combining correlated predictors, using Principal Component Analysis (PCA), or applying regularization techniques like ridge regression.

❌ VIF only detects linear relationships, meaning nonlinear dependencies may go unnoticed. Alternative methods, such as Generalized Additive Models (GAMs) or mutual information, can capture nonlinear correlations.
❌ VIF does not indicate whether collinearity affects the target variable, so it should be used alongside domain knowledge and model evaluation techniques. Even if VIF is high, multicollinearity is only a concern if it negatively impacts model predictions or inference.

The image below was created in R and shows a VIF plot categorizing predictor variables into low (green), moderate (blue), and high (red) multicollinearity. Variables X1 and X3 have high VIF values, indicating strong collinearity that should be addressed before interpreting the model.

🔹 In R, vif() from the car package computes VIF, while check_collinearity() from performance provides visualization. Ridge regression with glmnet can mitigate multicollinearity by applying regularization.
🔹 In Python, variance_inflation_factor() from statsmodels.stats.outliers_influence quantifies multicollinearity, and ridge regression with sklearn.linear_model.Ridge() helps stabilize estimates by penalizing large coefficients.

Looking to improve your regression models? Check out my online course on Statistical Methods in R! Further details: https://t.co/7YQCRDKSPO

#R4DS #DataViz #Statistical #RStats #pythonlearning #Python #datavis #Rpackage