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21 August 2024 at 10:20:16 am

Thirsty Metropolis

Barely a year after torrential rains submerged large parts of Mumbai’s, the city’s water sources have fallen to critical levels and water rationing has returned. This year, a bad monsoon has led to Mumbai’s reservoirs falling to barely 9 percent of its capacity, forcing water cuts across India’s financial capital. The Brihanmumbai Municipal Corporation (BMC) has halted supplies to construction sites and swimming pools, and tightened restrictions on commercial users. Predictably, the...

Thirsty Metropolis

Barely a year after torrential rains submerged large parts of Mumbai’s, the city’s water sources have fallen to critical levels and water rationing has returned. This year, a bad monsoon has led to Mumbai’s reservoirs falling to barely 9 percent of its capacity, forcing water cuts across India’s financial capital. The Brihanmumbai Municipal Corporation (BMC) has halted supplies to construction sites and swimming pools, and tightened restrictions on commercial users. Predictably, the politicians blame a delayed monsoon. But blaming the weather alone is convenient and wrong. Mumbai’s water woes are not merely a meteorological problem but the result of decades of political complacency and administrative neglect. Mumbai receives roughly 2,000 mm of rainfall annually. Few global cities are blessed with such abundance. Yet, every year the city oscillates between flooding and scarcity, unable to capture excess water when the skies open and unable to conserve enough when they do not. Mumbai consumes around 4,000 million litres of water daily. More than 900 million litres of treated water reportedly disappear through leakages and illegal connections every day. Non-revenue water losses have climbed above 30 percent, substantially higher than they were fifteen years ago. In other words, the city loses more water through inefficiency than the size of its official supply deficit. Instead, successive administrations have preferred to search for another reservoir farther away. From Vihar in the nineteenth century to Tulsi, Tansa and eventually the Vaitarna system, the city’s answer to rising demand has always been to extend its hydraulic empire.
Such an approach may have worked when Mumbai was smaller. Today, it looks increasingly fragile in an era of climate volatility as a weak monsoon now threatens millions. Meanwhile, local water sources have been allowed to decay. The Mithi River, once a functioning ecosystem, has become an open drain carrying untreated sewage and industrial waste. Wetlands that naturally stored and filtered water have steadily shrunk under developmental pressure. Wells and ponds that historically provided resilience have largely disappeared from public policy. The tragedy is that Mumbai possesses solutions that it refuses to deploy at scale. Rainwater harvesting has been mandatory for many buildings for more than two decades. Yet enforcement remains patchy enough for corporators to demand audits of compliance. Wastewater reuse offers another missed opportunity. Mumbai treats only a fraction of the sewage it generates. The city that pioneered industrial water recycling in India during the 1960s has somehow failed to make reuse central to its twenty-first-century water strategy. India’s financial capital cannot continue treating every dry spell as an unforeseen emergency. Climate change will make rainfall even more erratic in future. In truth, Mumbai does not suffer from a lack of water. It suffers from a lack of imagination. Until politicians focus less on announcing new projects and more on reviving wetlands, harvesting rain and recycling wastewater, every monsoon will remain a gamble.

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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