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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

YouTuber challenges FIR, LoC in HC

Mumbai : The Bombay High Court issued notice to the state government on a petition filed by UK-based medico and YouTuber, Dr. Sangram Patil, seeking to quash a Mumbai Police FIR and revoking a Look Out Circular in a criminal case lodged against him, on Thursday.   Justice Ashwin D. Bhobe, who heard the matter with preliminary submissions from both sides, sought a response from the state government and posted the matter for Feb. 4.   Maharashtra Advocate-General Milind Sathe informed the court...

YouTuber challenges FIR, LoC in HC

Mumbai : The Bombay High Court issued notice to the state government on a petition filed by UK-based medico and YouTuber, Dr. Sangram Patil, seeking to quash a Mumbai Police FIR and revoking a Look Out Circular in a criminal case lodged against him, on Thursday.   Justice Ashwin D. Bhobe, who heard the matter with preliminary submissions from both sides, sought a response from the state government and posted the matter for Feb. 4.   Maharashtra Advocate-General Milind Sathe informed the court that the state would file its reply within a week in the matter.   Indian-origin Dr. Patil, hailing from Jalgaon, is facing a criminal case here for posting allegedly objectionable content involving Bharatiya Janata Party leaders on social media.   After his posts on a FB page, ‘Shehar Vikas Aghadi’, a Mumbai BJP media cell functionary lodged a criminal complaint following which the NM Joshi Marg Police registered a FIR (Dec. 18, 2025) and subsequently issued a LoC against Dr. Patil, restricting his travels.   The complainant Nikhil Bhamre filed the complaint in December 2025, contending that Dr. Patil on Dec. 14 posted offensive content intended to spread ‘disinformation and falsehoods’ about the BJP and its leaders, including Prime Minister Narendra Modi.   Among others, the police invoked BNSS Sec. 353(2) that attracts a 3-year jail term for publishing or circulating statements or rumours through electronic media with intent to promote enmity or hatred between communities.   Based on the FIR, Dr. Patil was detained and questioned for 15 hours when he arrived with his wife from London at Chhatrapati Shivaji Maharaj International Airport (Jan. 10), and again prevented from returning to Manchester, UK on Jan. 19 in view of the ongoing investigations.   On Wednesday (Jan. 21) Dr. Patil recorded his statement before the Mumbai Police and now he has moved the high court. Besides seeking quashing of the FIR and the LoC, he has sought removal of his name from the database imposing restrictions on his international travels.   Through his Senior Advocate Sudeep Pasbola, the medico has sought interim relief in the form of a stay on further probe by Crime Branch-III and coercive action, restraint on filing any charge-sheet during the pendency of the petition and permission to go back to the UK.   Pasbola submitted to the court that Dr. Patil had voluntarily travelled from the UK to India and was unaware of the FIR when he landed here. Sathe argued that Patil had appeared in connection with other posts and was not fully cooperating with the investigators.

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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