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21 August 2024 at 10:20:16 am

Holy Contracts

The Kumbh Mela is supposed to be a celebration of faith. But in Maharashtra, it is beginning to look rather too much like an opportunity for fraudsters. For the BJP-led Mahayuti, the alleged Kumbh Mela scam is a potentially damaging test of political credibility and an unwelcome headache for Minister Girish Mahajan. The arrest of Tanay Mahajan, described as a distant relative of the Minister, in an alleged racket involving fake Kumbh work orders has handed the Opposition an opportunity it...

Holy Contracts

The Kumbh Mela is supposed to be a celebration of faith. But in Maharashtra, it is beginning to look rather too much like an opportunity for fraudsters. For the BJP-led Mahayuti, the alleged Kumbh Mela scam is a potentially damaging test of political credibility and an unwelcome headache for Minister Girish Mahajan. The arrest of Tanay Mahajan, described as a distant relative of the Minister, in an alleged racket involving fake Kumbh work orders has handed the Opposition an opportunity it will be eager to exploit. The scale of the alleged fraud makes the matter particularly serious. Police say fake work orders were shown for projects worth around Rs. 591 crore and that those who came forward were allegedly cheated of Rs. 305 crore. One complainant alone is said to have lost Rs. 2.17 crore. The documents allegedly bore the Government of India emblem and the name of the Nashik-Trimbakeshwar Kumbh Mela Authority. Mahajan has sought to distance himself from the accused, calling him a “gone case” and saying criminal cases had previously been registered against him. He has also urged strict action against everyone involved. But politically, the Minister’s proximity to one of the accused makes the episode difficult to quarantine as an ordinary fraud case. The Fadnavis government’s larger problem is one of perception. The Kumbh Mela is one of Maharashtra’s biggest public undertakings, involving enormous expenditure, infrastructure contracts and administrative machinery. If fake work orders worth hundreds of crores could circulate convincingly enough to extract money from contractors, questions will inevitably be asked about the safeguards surrounding the real tendering process. Mahajan’s clarification that Kumbh tenders are processed online, and that genuine work orders are not issued in the names of individual officials or accompanied by unauthorised QR codes, raises the obvious question: why did the alleged racket find enough room to operate in the first place? The timing makes the political challenge sharper. The Kumbh controversy comes on the heels of allegations surrounding the recent theft of Ram Mandir donations in a BJP-ruled state. A succession of controversies can create a narrative about institutional laxity on part of the ruling party at the Centre and in Maharashtra. The answer must be radical transparency. The police must follow the money, identify everyone who prepared or circulated the forged documents and establish whether anyone inside the system enabled the racket. The government should simultaneously publish a clear account of Kumbh tenders, safeguards and authorisations. The Kumbh should be an exercise in public administration, not an invitation to private profiteering. If the Mahayuti wants to prevent this alleged scam from snowballing into a larger political embarrassment, it must demonstrate that the state and not its middlemen, is in charge.

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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