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By:

Abhijit Mulye

21 August 2024 at 11:29:11 am

Indian students strike gold

Mumbai: India’s brightest young scientific minds have once again proven their mettle on the global stage, securing exceptional medal hauls at two of the world’s most prestigious science competitions for secondary school students. Showcasing unprecedented academic prowess, the Indian delegation brought home a historic all-gold sweep at the 58th International Chemistry Olympiad in Uzbekistan, alongside an impressive haul of one gold and three silver medals at the 37th International Biology...

Indian students strike gold

Mumbai: India’s brightest young scientific minds have once again proven their mettle on the global stage, securing exceptional medal hauls at two of the world’s most prestigious science competitions for secondary school students. Showcasing unprecedented academic prowess, the Indian delegation brought home a historic all-gold sweep at the 58th International Chemistry Olympiad in Uzbekistan, alongside an impressive haul of one gold and three silver medals at the 37th International Biology Olympiad in Lithuania. These stellar performances cement India’s position as a powerhouse of STEM talent, reflecting the rigorous training and dedication cultivated by the Homi Bhabha Centre for Science Education (HBCSE) and a nationwide network of educators, said national coordinator of Science Olympiads Prof. Anwesh Mazumdar. In a landmark achievement, all four students representing India at the International Chemistry Olympiad, held in Tashkent from July 10 to 19, bagged gold medals. This marks India’s first-ever all-gold sweep in the history of the competition. The victorious quartet includes Debadatta Priyadarshi from Bhubaneswar, Harshit Singla from Mandi Gobindgarh, Kabeer Chillar from Delhi, and Sandeep Kuchi from Hyderabad. This year’s event was the largest to date, featuring 363 students from 93 countries. India’s flawless performance tied the nation for the top spot in the country-wise medals tally, sharing the first position with China, Vietnam, and an individual participant from Russia. The students navigated highly complex experimental and theoretical tasks, including decoding the composition of historical and natural artifacts, calculating the mass of uranium used in a 1966 detonation, and performing advanced pH-metric titrations. The team was guided by Head Mentor Professor Subhajit Bandyopadhyay, Mentor Dr. Indrani Sen, and Scientific Observers Dr. Anubendu Adhikary and Dr. Jayasree Gopalakrishnan. Running concurrently in Vilnius from July 12 to 19, the International Biology Olympiad saw the Indian team secure one gold and three silver medals against a highly competitive field of 307 students from 78 nations. Bhavyaa Gunwal from Mahendragarh clinched the gold medal, while Soumil Maity from Howrah, Nishit Kalani from Pali, and Anmol Kumar from Mansa each brought home silver. The biology competition pushed the boundaries of secondary education with a gruelling six-hour theoretical exam and an intensive six-hour practical laboratory test designed by the Vilnius University Life Sciences Centre. In the labs, students executed complex molecular biology tasks like restriction digestion, evaluated the pharmacokinetics of aspirin, performed precise insect morphology dissections, and utilized cutting-edge digital software for plant transcriptome analysis. The delegation was led by Professor Rekha Vartak and Dr. Anupama Ronad, alongside Scientific Observers Dr. Ranjithsinh Devkar and Dr. Siddhesh Ghag.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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