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Correspondent

23 August 2024 at 4:29:04 pm

Calculated Deception

The grand narrative constructed around Abhijeet Dipke and his self-styled Cockroach Janta Party (CJP), which was at the forefront of the NEET exam paper leak protests, is now unravelling rapidly under basic factual verification. Designed as a viral, internet-fuelled pressure front, Dipke’s crusade presented itself as an organic revolt of students frustrated with the lapses in the Indian education system. However, a closer examination of Dipke’s timelines, credentials and digital footprint...

Calculated Deception

The grand narrative constructed around Abhijeet Dipke and his self-styled Cockroach Janta Party (CJP), which was at the forefront of the NEET exam paper leak protests, is now unravelling rapidly under basic factual verification. Designed as a viral, internet-fuelled pressure front, Dipke’s crusade presented itself as an organic revolt of students frustrated with the lapses in the Indian education system. However, a closer examination of Dipke’s timelines, credentials and digital footprint reveals a stark pattern of systemic hypocrisy and institutional manipulation. A primary pillar of Dipke’s public persona has been his academic background at Boston University. Yet, his timeline contains glaring physical impossible realities. Dipke publicly displayed a scholarship letter claiming enrolment for the Fall 2024 academic term, which spanned September to December 2024. But during this precise window, Dipke was physically present in India actively participating in campaign activities for the Aam Aadmi Party (AAP) despite having claimed that left that party in 2023. Furthermore, location logs and reviews place him in Schaumburg, Illinois, and Orlando, Florida, thousands of miles from the Boston campus during times he was purportedly pursuing his studies. Dipke’s claims of a USD 12,500 per semester partial scholarship leaves tens of thousands of dollars in tuition and living expenses unaccounted for, raising serious questions about the origin of funds unsecured by standard collateral for someone claiming modest familial income. Dipke has repeatedly asserted that his political association with AAP was limited between 2020 and 2023. Yet digital records confirm his operational involvement with AAP stretching back a decade. To sustain this sanitized origin story, Dipke allegedly scrubbed his historical social media data, altered his public X profile handle and systematically attempted to delete legacy posts. This alleged obfuscation is now being seen as an active effort to mislead the young demographic behind his anti-establishment posturing. Several have pointed that CJP’s tactical playbook relying on ‘laughtivism,’ satirical subversion, and symbol appropriation mirrors specific regime-change and protest methodologies associated with Western political strategy institutes like the Albert Einstein Institution and CANVAS. Far from being a spontaneous outburst of Gen Z anger, the operational signature of the movement fits established international frameworks designed to leverage civic frustration for targeted political disruptions. Dipke’s claims of state censorship are equally bizarre. Dipke had alleged that the Indian government dictatorially shut down the official CJP domain. But technical analysis of global DNS zone files tells a completely different story. Domain registration data reveals the site was created via a budget foreign registrar, and was placed on clientHold status, triggered directly by the registrar or the domain owner for compliance or technical non-payment. The youth who have placed their trust in Dipke’s platform deserve transparency, not a scripted political project operating behind a veil of curated outrage.

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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