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23 August 2024 at 9:59:04 pm

Hidden Questions

For six years, the Disha Salian case has remained trapped in a fog of unanswered questions, disputed narratives and institutional inaction. It appears that the fog is now finally beginning to lift. The CBI’s recent FIR has brought into the investigation a startling array of names including Shiv Sena (UBT) leader and MLA Aaditya Thackeray, his father, Sena (UBT) chief and former Chief Minister Uddhav Thackeray, Dino Morea, Sooraj Pancholi, Rhea Chakraborty, Sachin Vaze, Param Bir Singh, and...

Hidden Questions

For six years, the Disha Salian case has remained trapped in a fog of unanswered questions, disputed narratives and institutional inaction. It appears that the fog is now finally beginning to lift. The CBI’s recent FIR has brought into the investigation a startling array of names including Shiv Sena (UBT) leader and MLA Aaditya Thackeray, his father, Sena (UBT) chief and former Chief Minister Uddhav Thackeray, Dino Morea, Sooraj Pancholi, Rhea Chakraborty, Sachin Vaze, Param Bir Singh, and former home minister Anil Deshmukh. The allegations being investigated include conspiracy, destruction or suppression of evidence and an alleged attempt to establish a false narrative around Salian’s death. For Aaditya and the MVA, the instinctive political response will be to dub the CBI’s fresh probe as ‘vendetta’ and portray the investigation as an assault on the Thackeray family. But such a response would evade the much larger question of why this case was allowed to remain where it was for so long? At the very least, the filing of the FIR against the Thackerays’ and others lays bare the failure on part of the erstwhile MVA government headed by Uddhav Thackeray to properly investigate the case. This aspect cannot be wished away now by invoking political persecution as the Bombay High Court’s intervention has itself exposed the extraordinary manner in which the matter was handled. For years, Salian’s death remained an accidental-death case rather than being subjected to the kind of criminal investigation demanded by the allegations surrounding it. Her family has repeatedly sought a CBI probe only to be rebuffed by the previous Maharashtra government headed by Uddhav Thackeray. If the Thackeray-led MVA government had nothing to fear, why was a transparent investigation not pursued with greater urgency? If there was no attempt to protect anyone, why were questions about the circumstances of Salian’s death allowed to accumulate rather than being conclusively answered? And if there was no political sensitivity involved, why did the machinery of government appear so reluctant to let an independent agency examine the matter? The more aggressively the Opposition cries “vendetta,” the more obvious another question becomes: what exactly is it afraid the investigation might uncover? Aaditya Thackeray’s political inheritance cannot become an institutional exemption. Being Balasaheb Thackeray’s grandson may provide a formidable political surname; it cannot provide immunity from scrutiny. The CBI must be allowed to pursue every lead, examine every witness, reconstruct every missing link and establish the truth as to what happened to Disha Salian. If the allegations against anyone are false, the investigation should establish that too. But if wrongdoing has occurred, then those responsible must face the consequences. After six years, neither political power nor a famous surname can be allowed to stand between the investigation and the truth.

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

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

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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