top of page

By:

Correspondent

23 August 2024 at 4:29:04 pm

Queens Ascendant

Indian cricket has lived with an odd imbalance for decades. It has always been the men’s team that has commanded the money, the headlines and the expectations while women cricketers were expected merely to improve. Now, with their phenomenal Test win over England at Lord’s, it is the women who have reminded India what Test cricket looks like when played with ambition, discipline and nerve. The Indian women overwhelmed the English side by inflicting a crushing 270-run victory, dismissing...

Queens Ascendant

Indian cricket has lived with an odd imbalance for decades. It has always been the men’s team that has commanded the money, the headlines and the expectations while women cricketers were expected merely to improve. Now, with their phenomenal Test win over England at Lord’s, it is the women who have reminded India what Test cricket looks like when played with ambition, discipline and nerve. The Indian women overwhelmed the English side by inflicting a crushing 270-run victory, dismissing England for just 186 in their second innings and securing India’s first-ever women’s Test triumph. It was a victory rich in symbolism and richer still in substance. Yastika Bhatia produced an innings for the ages, scoring a majestic 113 to become the first woman ever to register a Test century at Lord’s. Her innings, composed with uncommon patience and authority, earned a deserved place on the Lord’s Honours Board. Debutant Kranti Gaud announced herself with a five-wicket haul that also secured immortality on the same board, while Richa Ghosh’s enterprising half-century accelerated India’s declaration and placed the match irretrievably beyond England's reach. But numbers alone tell only part of the story. Setting England an improbable target of 457, the Indian side attacked with conviction as the pace bowlers ripped through England’s top order, while the spinners maintained relentless pressure. Even England’s brief resistance through Amy Jones and Mady Villiers merely delayed the inevitable. The contrast with the Indian men’s team could scarcely be sharper. In recent months, the men’s side has looked increasingly uncertain in the format that once defined Indian cricket’s rise. Consecutive Test defeats against New Zealand and South Africa in 2024 and 2025 respectively exposed the rot at the edifice of Indian men’s cricket. The latest humiliation, a T20 defeat to Ireland, only reinforced the uncomfortable impression that Indian men’s cricket is suffering from the complacency that often accompanies abundance. Lucrative franchise contracts and cricket’s vast commercial ecosystem have insulated players from the consequences of failure. Unlike their male counterparts, India’s women have built their success with a fraction of the financial rewards, public attention and playing opportunities. Test matches remain rare and sponsorships remain comparatively modest. Yet scarcity has bred something that abundance sometimes cannot: hunger. Harmanpreet Kaur’s side arrived at Lord’s without the burden of celebrity but with an abundance of purpose. Their historic victory was built not on flashes of brilliance alone but on qualities that have always defined great Test sides, namely discipline and collective purpose. Genuine respect in cricket still depends upon performances in the longest format. The Indian women’s team has claimed not merely a famous win but a place in cricket’s enduring narrative. At Lord’s, India’s women reminded the world how champions are made. The men would be wise to take notes.

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.)

Comments

bottom of page