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By:

Quaid Najmi

4 January 2025 at 8:56:24 pm

Accused trio get 10-day remand

Mumbai: A Mumbai Court has given 10 days police custody to three arrested accused in the firing on Bollywood action star Tiger Shroff in a crowded public place as the investigators attempt to unravel the conspiracy, motives, involvement of other players and related aspects of the sensational case, on Wednesday. The accused trio Rehan alias Sukka, and Phool Singh both from Sonipat in Haryana and Rhitik Kurmi alias Roshan, originally from Begusarai in Bihar but currently residing in Mumbai,...

Accused trio get 10-day remand

Mumbai: A Mumbai Court has given 10 days police custody to three arrested accused in the firing on Bollywood action star Tiger Shroff in a crowded public place as the investigators attempt to unravel the conspiracy, motives, involvement of other players and related aspects of the sensational case, on Wednesday. The accused trio Rehan alias Sukka, and Phool Singh both from Sonipat in Haryana and Rhitik Kurmi alias Roshan, originally from Begusarai in Bihar but currently residing in Mumbai, were brought here from Kota in separate vehicles early today. They were produced before the Chief Metropolitan Magistrate at Esplanade Court where the police sought 14 days’ custody for the accused who are allegedly acting at the behest of the jailed mafia chief Lawrence Bishnoi’s gang. Pleading for the remand, the police lawyers argued that sustained custodial interrogation was necessary to recover the weapons used in the shooting – which the accused had thrown away while fleeing, retrieve two mobile phones which were reportedly destroyed by the accused, besides digging out the entire conspiracy, pinpoint the exact motives and identify other persons involved in the brazen attack. Opposing the plea, the accused’s lawyers Ajinkya Mirgal and Satyabrat Joshi argued that police custody was unnecessary, particularly for recovering the weapons. Mirgal and Joshi later told mediapersons that the accused had already been interrogated at a railway colony during their transit-remand period and were produced before the CMM Court just minutes before the transit remand expired this afternoon. After hearing both sides, the CMM remanded them to police custody for 10 days till October 31. It may be recalled that Shroff, 36, was targeted on the evening of October 18 near Pushpa Narsee Park in Juhu. Despite being a heavily crowded area, the assailants were seen firing at least 5-6 rounds at the actor’s car before fleeing on a motorcycle. A shaken Shroff escaped relatively unhurt, sustaining minor bruises, but his driver and a bystander suffered injuries. Following the incident, the Mumbai Police registered a case of attempted murder and offences under the Arms Act, and launched an interstate investigation involving Maharashtra, Haryana, Rajasthan, and later Gujarat and Delhi. The Mumbai Police formed 20 teams to hunt down the attackers, recovered the second-hand motorcycle outside Andheri station where it was abandoned and tracked their journey through different modes of transport from Mumbai to Surat and Kota. Acting on a tech-intel alert from Mumbai Police, the Kota Police lay in wait for them and apprehended them from the general coach of the Pune-Jaipur Superfast Express on Monday morning. Initial probe revealed that the assailants were planning to flee the country after travelling to the borders via Jaipur and Delhi. They were lured by the promise of sneaking them out of India to a foreign country, possibly Canada and rehabilitating them. Three key accused brought to Mumbai from Kota Three key accused apprehended in connection with the firing at actor Tiger Shroff’s car were brought to Mumbai from Kota in Rajasthan early on Wednesday, police said. Police brought them by road from Kota to Mumbai and, upon arrival, immediately took them to GT Hospital for a mandatory medical examination, an official said. Following the medical check-up, the accused were escorted to the Mumbai Crime Branch’s Anti-Extortion Cell (AEC) office for interrogation. The accused have been identified as Rehan alias Sukka, from Sonipat in Haryana; Ritik Kurmi alias Roshan, originally from Begusarai in Bihar and living in Mumbai; and Phool Singh from Haryana, the official said. The Kota city police had handed them over to Mumbai Police, which formally arrested them and produced them before a magistrate there. The court granted transit remand to take them to Mumbai. Meanwhile, advocate Ajinkya Mirgal arrived at the AEC office in Mumbai on Wednesday morning, informing officials that he would represent the accused as their defence counsel in the case. At least two men fired gunshots at Shroff’s car in Mumbai’s Juhu area on Sunday evening before speeding away on a motorcycle. The actor escaped relatively unhurt, while his driver and a bystander were injured. According to Mumbai Police, five to six rounds were fired at the car. A motorcycle, allegedly used by the shooters, was found abandoned in Andheri. The accused fled to Surat and once there, boarded a Jaipur-bound train. The three were supposed to go to Delhi on a bus and then flee to Nepal. The Mumbai Police have registered a case under the provisions of attempt to murder and the Arms Act. According to the police, Rehan was in touch with Anil Pandit, an alleged associate of the Lawrence Bishnoi gang, which claimed responsibility for the attack in an unverified social media post. On Tuesday, the Delhi Police Special Cell arrested four more persons, including two women, in connection with the firing case. Police suspect they were acting on the directions of Anil Pandit, a gangster operating from abroad, an official earlier said. The four accused, identified as Kunal (21), Sumit (19), Radha (23), and Babita (23), were apprehended from Delhi and Haryana. According to police, Kunal allegedly collected a pistol and 20 rounds from Amritsar on the instructions of Anil Pandit, with Sumit accompanying him. Radha and Babita allegedly travelled to Mumbai with the weapon. Following the arrest, the police said the motive of the shooting was being ascertained, while the way Shroff was attacked, the assailants planned to kill him.

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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