Personalized cancer medicine: Humans make better treatment decisions than AI, says study

Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are. To be able to offer patients personalized therapies tailored to their disease, laborious and time-consuming analysis and interpretation of various data is required.

New machine learning technique found to be 30% better at predicting cancer cure rates

With the rapid development in computing power over the past few decades, machine-learning (ML) techniques have become popular in medical settings as a way to predict survival rates and life expectancies among patients diagnosed with diseases such as cancer, heart disease, stroke, and more recently, COVID-19. Such statistical modeling helps patients and caregivers balance treatment that offers the highest chance of a cure while minimizing the consequences of potential side effects.

Internet connectivity at Kalomo sec school excites Govt 

By NATION REPORTER

TECHNOLOGY and Science Minister Felix Mutati says children need to be embraced and empowered with education tools to steer their positive and progressive education path.

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C-sections in Mexico increase with obesity level and health care specialization: Study

Cesarean section (C-section) procedures have increased dramatically around the world in the recent decades. Overweight and obesity rates, common risk factors for pregnancy outcomes and for C-sections, are also on the rise—creating a major health issue in low- and middle-income countries. Published in The World Bank Economic Review, new study from the University of Illinois Urbana-Champaign investigates how high obesity levels lead to hospital specializations that affect the frequency of C-sections in Mexico.